At a recent press conference, Federal Reserve Chair Jerome Powell claimed that the Fed’s flexible average inflation targeting (FAIT) framework did not contribute to the post-pandemic inflation surge.
There was nothing moderate about the overshoot. It was — it was an exogenous event. It was the pandemic and it happened and, you know, our framework permitted us to act quite vigorously. And we did once we decided that that’s what we should do. The framework had really nothing to do with the decision to — we looked at the inflation as — as transitory and — right up to the point where the data turned against that. — and when the data turned against that in late ‘21, we changed our — our view and we raised rates a lot. And here we are at 4.1 percent unemployment and inflation way down. But the framework was — was more — was more irrelevant than anything else that — the that part of it — that part of it was irrelevant. The rest of the framework worked just fine as — as we used it — as it supported what we did to bring inflation down.
The temporary rise in inflation and permanent rise in the price level was, according to Powell, beyond the Fed’s control. The Fed’s framework did not inhibit the Fed’s response. To the contrary, Powell said, the framework supported the Fed’s efforts to rein in inflation.
There’s no subtle way to put this: Powell’s account of what happened is incorrect.
Let’s start with the rise in prices. While the price level initially declined below the Fed’s two-percent target when the pandemic hit, it quickly recovered. By March 2021, the overall level of prices had returned to the two-percent growth path. It then rose rapidly until the Fed aggressively tightened monetary policy midway through 2022.
In his recent remarks, Powell describes the rise in prices as “exogenous,” suggesting that it had nothing to do with monetary policy. It is unclear what he means here, but one interpretation is that he is blaming inflation on pandemic-driven supply constraints.
There are several problems with this view. For one, the timing does not make any sense. The worst of the pandemic-induced supply constraints occurred in 2020. The economy had largely recovered from these constraints by the time inflation picked up in late 2021.
Moreover, a temporary reduction in real output, on its own, would not result in a permanent rise in the price level. Absent an increase in nominal spending, the price level would have fallen as real output recovered. That, of course, is not what happened. Real GDP has basically returned to trend, yet the price level remains substantially higher than it would have been had the Fed hit its two-percent inflation target over the past few years.
So what caused the rise in prices?
The short answer is that the Fed’s response to the pandemic resulted in a surge in nominal spending. Mistaking this positive aggregate demand shock for a negative aggregate supply shock, the Fed initially delayed its response. As Powell admits, it is only after “the data turned against that” view that the Fed changed course.
But even that is too charitable. The Fed did eventually change course, but it did not do so right after the data turned against the transitory supply-side story in the back half of 2021, as Powell suggests.
By the time the Fed released its projections in December 2021, Fed officials had access to inflation data through October, which showed inflation had averaged 5.8 percent year-to-date. But the December median inflation projection for 2021 was just 5.3 percent. For that forecast to be accurate, inflation would have needed to average just 2.7 percent in November and December — a sharp decline from the preceding trend. Moreover, Fed officials made no changes to monetary policy at the December meeting, nor did the December median federal funds rate projection for 2021 shift from prior meetings.
In short, it seems as though they expected inflation to fall in the final months of 2021 without any policy tightening — suggesting they still attributed inflation to transitory, pandemic-related supply constraints, despite Powell retiring the term at the end of November.
Fed officials did not act swiftly and decisively once they realized the problem in late 2021, as Powell claims. They did not even begin to raise the federal funds rate target until March 2022 — at least five months after the data revealed a demand-side problem and three months after Fed officials acknowledged that problem. Even then, the Fed officials proceeded slowly, despite inflation surging past their projections during the early months of 2022. Indeed, the real federal funds rate would remain negative until June 2022! It was not until July 2022 that Fed officials finally got serious about getting inflation under control. They raised the federal funds rate target by 75 basis points, and then followed up with several substantial rate hikes throughout the remainder of 2022 and early 2023.
The Fed’s slow response to the surge in aggregate demand pushed the price level well above its pre-pandemic growth path.
Where does the Fed’s FAIT framework come into play? Under FAIT, the Fed targets inflation asymmetrically: it only makes up for inflation undershoots. It does not make up for periods when inflation averages more than 2 percent. Consequently, the price level will not return to its pre-pandemic growth path. That is not an accident. It is the direct result of the Fed’s FAIT framework.
Contrary to Powell’s claims, FAIT is far from irrelevant. It explains why the price level, having grown faster than the Fed had hoped, will now remain permanently elevated despite the Fed’s aggressive rate hikes. Perhaps that’s what Fed officials wanted. Perhaps they would not have done anything differently had they not been constrained by FAIT. If that’s the case, they should say that. The fact is, given the Fed’s adherence to its FAIT framework, they were not able to do anything other than permit the price level to remain permanently elevated.
Getting this history right matters. If Fed officials are going to avoid making similar mistakes in the future, they must take responsibility for their role in driving prices permanently higher. As Fed officials review their framework this year, they should keep the following in mind: either FAIT enabled the price level to rise permanently higher beginning in 2021 or failed to prevent it from rising permanently higher. Either way, it needs to go.
On Sunday, Germany’s voters will elect a new government. Polls indicate that the once mighty Social Democratic Party (SDP) will be reduced to fighting the Greens for third place while the right-wing Alternative for Germany (AFD) will finish second behind the more “moderate” Christian Democrats (CDU). With the war in Ukraine at a turning point, the result matters beyond Germany, and even Vice President J.D. Vance has found himself caught up in the campaign.
The proximate cause of Sunday’s election is the collapse of the governing coalition of the SPD, Greens, and free-market Free Democratic Party (FDP) following disputes over economic policy. The ultimate causes are several, and a leading one is Germany’s stagnant economy. It offers a stark warning to the United States and any country tempted to sacrifice its economy in pursuit of “green dreams.”
Green Dreams
Until recently, this would have seemed incredible. In the early 1990s, Germany’s per capita Gross Domestic Product (GDP), adjusted for inflation and differences in living costs, was equal to that of the United States, an incredible achievement for a country whose economy was obliterated during World War II. The jewel in West Germany’s economic crown was its manufacturing sector, which specialized in high-quality products made by a highly capitalized, highly productive, highly paid workforce. This accounted for 19.9 percent of German GDP in 1997 compared to 16.1 percent in the United States: By 2021, while manufacturing had fallen to 10.5 percent of United States’ GDP, it still accounted for 18.7 percent in Germany.
The absorption of East Germany, historically poorer than the west and relatively impoverished further by decades of communism, was a strain, and German per capita GDP reached near parity with France and Britain by the mid-2000s. Then its relative performance improved thanks to the introduction of a currency shared with weaker economies like Greece and Italy which dragged the foreign currency price of German exports down. By 2020, Germany’s per capita GDP was about $12,000 to $10,000 higher than that of France or Britain.
But German policymakers were determined to fight climate change; indeed, they opposed not only fossil fuels but anything that wasn’t wind or solar. In 2011, Chancellor Angela Merkel (CDU) accelerated the end of nuclear power. Those renewable sources of energy weren’t scaling up fast enough to fill the gap, but gas could be imported from Russia while the wait for renewables went on…and on. Even after Russia invaded Georgia in 2008, German leaders went ahead with Nord Stream 1 which piped natural gas from Russia and even following Putin’s first invasion of Ukraine in 2014, Berlin’s policymakers went ahead with Nord Stream 2 which began construction in 2018.
In July 2017, Merkel denounced President Trump’s approach to fighting Climate Change at a meeting of the G20 while, at the same time, she was turning Germany into a Russian client state with her own energy policies. In September 2018, Trump hit back, telling the United Nations General Assembly that “Germany will become totally dependent on Russian energy if it does not immediately change course.” In response, the Washington Post reported, “German Foreign Minister Heiko Maas could be seen smirking alongside his colleagues.”
Russia’s invasion of Ukraine in February 2022 vindicated Trump and wiped the grins off the faces of Maas and his colleagues. Moscow cut off natural gas supplies to Germany and prices skyrocketed for gas and for electricity generated from gas, both key inputs for energy-intensive industries such as steel, fertilizer, chemicals, and glass. Germany had to turn to liquefied natural gas (LNG), super-cooled and imported by ship from Qatar and the United States, all of which cost more than pipeline gas. Electricity now costs industrial users in Germany an average of 20.3 euro cents per kilowatt hour, while its competitors in China and the United States face costs equivalent to just 8.4 euro cents.
Germany’s political class thought that it could have an industrial economy based on pre-industrial sources of energy like wind and solar. For a time, Russian natural gas allowed them to live that fantasy and lecture those who did not share it. The fantasy is now over, and it turns out that switching your economy to pre-industrial energy sources switches you back to a pre-industrial economy. Germany’s energy-intensive industrial production is now at a level even below those it fell to during the pandemic.
The country hasn’t seen significant economic growth in five years and 2024 was the second year in a row where Germany’s economy actually shrank. In January, the government cut its 2025 growth forecast from 1.1 percent to 0.3 percent and the number of unemployed hit almost three million, a rate of 6.2 percent.
Political Realities
The combination of left and right parties that formed a government after the 2021 elections was doomed to struggle in such circumstances.
In November 2023, Germany’s Federal Constitutional Court lit the fuse to its eventual explosion when it declared the government’s reallocation of unspent debt proceeds to its climate action budget unconstitutional. To fill the resulting €60 billion shortfall, the government attempted to fill this gap by, among other measures, raising taxes on farmers, prompting widespread protests. In three state elections in September 2024, the coalition parties performed poorly while AfD and the left-populist Sahra Wagenknecht Alliance (BSW) made significant gains.
On November 1, FDP leader and finance minister Christian Lindner called for tax cuts and a halt in new regulations, and opposed new spending, including on action against climate change. The SPD and Greens branded this “provocation” and on November 6, Chancellor Olaf Scholz (SPD) dismissed Lindner, and the FDP quit the coalition, leaving a minority government.
On December 16, Scholz called (and then lost) a vote of confidence, prompting Sunday’s vote.
Lessons for America
In recent years, policymakers across the West, including the United States, have argued for and enacted costly policies to shift from cheap and reliable energy sources to expensive and unreliable ones. Voters have been told that, if everything goes right, not only might this come at no economic cost, but it might even usher in some “Green Revolution.” The fate of Germany’s economy — its entirely self-inflicted crippling in pursuit of a fantasy — exposes the folly of this argument. No government should follow its example and anyone who says it should ought to be dismissed as a crank.
There is another lesson, perhaps a deeper one. The economic situation, along with mass immigration, has created a situation where AfD can thrive. If they do well, Russia will be blamed and so will populists and populism generally. But it wasn’t populists who crippled Germany’s economy. It was its “moderate” elites, people like Merkel, who did that. If AfD performs well on Sunday, it is to those “moderates” and their disastrous, immoderate policies, that it will owe its success.
The Trump administration’s announcements of a 10 percent tariff on Chinese imports and 25 percent tariffs on goods from Mexico and Canada (all currently in some holding pattern) have led to considerable volatility in stock and foreign exchange markets.
Investors, unsurprisingly, are expressing concerns over potential disruptions in global supply chains and the macroeconomic implications of obstructions to trade. But interestingly, various financial markets have shown a relatively muted response to proposals regarding the implementation of reciprocal tariffs. The subdued character of the reaction may simply show exhaustion, with market participants becoming desensitized to new announcements. Or, the quiescence could indicate that investors are nonplussed, perceiving reciprocal tariffs as less impactful, likely to be negotiated away before implementation, or even positive.
By way of explanation, reciprocal tariffs are trade duties that a country imposes to mirror the tariffs placed on its exports by another nation. The primary objective is to either establish a level playing field or retaliate, ensuring that if one country levies tariffs on certain goods, the affected nation can respond with equivalent tariffs. For instance, if Country A imposes a 20 percent tariff on steel imports from Country B, Country B might retaliate by enacting a similar tariff on steel or comparable goods from Country A. The strategy behind reciprocal tariffs is to incentivize countries to reduce or even eliminate trade barriers, fostering a more open and balanced international trading system.
Several nations currently impose tariffs on US goods without facing equivalent tariffs, or impose tariffs of a much higher magnitude on goods imported from the United States. India, for example, has been identified as maintaining high tariffs on many American products, with average rates around 17 percent: significantly higher than the US rate of 3.3 percent on some Indian products. Similarly, the European Union applies a 10 percent tariff on US automobiles; the US has its own tariffs on European cars, but at a much lower rate (2.5 percent).
A foundational distinction in economics is that which separates positive analysis (describing the world as it is) from normative analysis (prescribing how it should be). Reciprocal tariffs provide a particularly useful lens through which to examine this dichotomy. While economic theory generally favors free trade as the optimal state of global commerce, real-world policy decisions tend to reflect a more interventionist approach. Specifically, the question of whether a nation should respond to foreign tariffs with its own protectionist measures exemplifies this ongoing debate.
Reciprocal tariffs illustrate the divide between positive and normative economics: a positive analysis explains that while unilateral free trade generates benefits for consumers and economic efficiency, imposing reciprocal tariffs can pressure protectionist nations to lower their trade barriers, potentially leading to freer trade overall. The normative question, however, is whether a nation ought to take the principled high ground by avoiding retaliatory tariffs or instead strategically impose them to achieve long-term trade liberalization.
On one hand, a nation may determine that the most economically sound response to tariffs on its goods is not to impose retaliatory tariffs of its own. Free trade tends to maximize efficiency by allowing nations to specialize in the production of goods and services in which they have a comparative advantage. Retaliatory tariffs, by contrast, restrict trade, increase costs for consumers, and distort resource allocation.
US Trade Policy Uncertainty Index (1990 – present)(Source: Bloomberg Finance, LP)
Even when one country implements tariffs, unilateral free trade remains beneficial. Avoiding counter-tariffs keeps domestic prices lower, benefiting consumers and businesses reliant on imported goods. Not retaliating also prevents damaging trade wars, which have historically had negative economic consequences (consider the Smoot-Hawley Tariff Act, which exacerbated the Great Depression). In addition, there is the not-inconsiderable moral high ground: a nation committed to unilateral free trade can position itself as a stable, open-market economy, attracting investment and diplomatic goodwill. From this perspective, free trade is the ideal arrangement regardless of how other nations act.
There is an alternative argument, which holds that reciprocally tariffing nations that impose or maintain tariffs may serve the broader cause of freer and more productive trade in the long run. While imposing tariffs is contrary to free-market principles, strategic reciprocation may pressure protectionist nations to lower or eliminate their trade barriers, leading to a more open global system. The practice of imposing reciprocal tariffs is not without risk, but may force protectionist governments to reassess the costs of obstruction, possibly resulting in broader trade liberalization. In that sense, reciprocal tariffs may be viewed as a corrective measure as opposed to an end goal. Proponents of doing so are likely to characterize reciprocal tariff campaigns (such as that which is being discussed) as pragmatic, free-market oriented interventions as opposed to dogmatic non-interventionism.
But imposing retaliatory tariffs, even if undertaken in the spirit of fostering unfettered trade, is a perilous proposition. History shows that such measures may escalate trade disputes, disrupt supply chains, and inflict disproportionate harm on domestic consumers and producers. While foreign tariffs hinder US exports, raising domestic barriers in response may encounter intransigence, compounding inefficiencies and weakening economic stability. Additionally, their targeting is inherently political in nature. The prosperity of the United States ultimately depends not on mirroring the protectionism of others but on maintaining open markets and competitive pricing. Imposing reciprocal tariffs, would represent a further deviation from the general historical principle of the US applying unconditional Most-Favored-Nation (MFN) trading policies outside of bilateral and regional agreements.
(Two such deviations have occurred recently: Biden’s 2022 revoking of Russia’s and Belarus’s MFN status to impose higher tariffs in the wake of the invasion of Ukraine, and the tariffs imposed by the Trump administration on Chinese imports during beginning in 2018.)
The debate over reciprocal tariffs underscores the is/ought dichotomy that is central to economic policy analysis. Free trade is the optimal outcome, and unilateral free trade remains beneficial even in the face of foreign tariffs. In the government/official sphere, though, trade dynamics may be deemed as necessitating strategic responses to protectionist policies abroad. But dismissing, let alone praising, tariff threats of any kind (retaliatory or other) as “negotiating tactics” ignores the creation of market distortions through preemptive stockpiling, increased costs due to administrative and compliance changes, and growth-impeding uncertainty, which delays investment and expansion decisions.
Navigating between the science of economics and the practical realities of real-world decision-making is a perpetual challenge. The debate over the application of reciprocal tariffs illustrates a broader truth pertaining to all of the social sciences: sound economic theory provides guiding principles, while real-world application, especially when political dynamics enter the fray, frequently requires balancing normative ideals with unsentimental practicality.
As a scientist, I would prefer the theoretically sound, apolitical (and principled) approach, but the debate presents a valuable opportunity to highlight the contrast between idealism and expedience: in trade policy, and beyond.
The United States Agency for International Development (USAID) was established by President John F. Kennedy on November 3, 1961 with Executive Order 10973. Kennedy created USAID to implement the noble objectives of the Foreign Assistance Act of 1961 and consolidate several existing foreign assistance organizations and programs into a single agency under the US State Department.
The purpose of the Foreign Assistance Act was clear. It stated:
a principal objective of the foreign policy of the United States is the encouragement and sustained support of the people of developing countries in their efforts to acquire the knowledge and resources essential to development and to build the economic, political, and social institutions which will improve the quality of their lives” and “that development concerns be fully reflected in United States foreign policy and that United States development resources be effectively and efficiently utilized.
In 1998, USAID split off from the State Department, becoming its own stand-alone agency. This eventually led to USAID being used as a tool of the State Department and the CIA for domestic political agendas and foreign covert operations intended to escape transparency and accountability. Thus, USAID’s original mission became corrupted.
On Inauguration Day, President Trump issued Executive Order 14158 to establish and implement the Department of Government Efficiency (DOGE). Led by Elon Musk, DOGE hit the ground running. It immediately began reviewing and terminating hundreds of wasteful contracts, leases, and grants across several government agencies.
While DOGE has not yet established a system to report running cost savings by agency, it has set up a “DOGE Clock” to provide live tracking of the cost savings it is achieving in aggregate. As of February 17, the DOGE Clock was reporting $49 billion in aggregate cost savings. Not bad for only 28 days of cost-cutting work.
The one agency that quickly caught the attention of the DOGE team for its shocking level of waste, fraud, and abuse was USAID. During a live X Spaces discussion on February 3, Musk made the following comments about the DOGE team’s review of USAID:
As we dug into USAID, it became apparent that what we have here is not an apple with a worm in it, but we have actually just a ball of worms. If you have an apple with a worm in it, you can take the worm out. If you have a whole ball of worms, it’s hopeless. USAID is a ball of worms. There is no apple. And when there is no apple you just need to get rid of the whole thing.
On the previous day, February 2, Musk posted several critical comments about USAID on X:
“USAID was a viper’s nest of radical-left Marxists who hate America” and “USAID is/was a radical-left political psy op.”
Senator Joni Ernst (R-IA) authored an opinion piece in The Wall Street Journal on February 9th describing USAID as a “rogue agency” that has a history of stonewalling congressional requests for information about its activities. Excerpts from Senator Ernst’s piece:
After keeping its spending records hidden from Congress and taxpayers, USAID employees are now protesting the review of the agency’s records by President Trump’s Department of Government Efficiency. It’s no surprise that Washington insiders are more upset at DOGE for trying to stop wasteful spending than at USAID for misusing tax dollars. The question we should be asking isn’t why USAID’s grants are being scrutinized, but why it took so long.
Criticisms of USAID by Musk and Senator Ernst are backed up with detailed lists of waste, fraud, and abuse uncovered by the DOGE team and congressional committees.
On January 31, DOGE reported on X that it had terminated seven DEI-related USAID contracts with a total contract value of $375.1 million. The Trump White House issued a fact sheet on February 3 entitled “At USAID, Waste and Abuse Runs Deep” and the House Foreign Affairs Committee followed with a press release on February 4 that listed numerous egregious examples of wasteful USAID spending, such as millions of dollars spent promoting DEI and LGBT activism in multiple countries around the world, and hundreds of millions of dollars paid to support poppy cultivation and heroin production in Afghanistan that benefitted the Taliban regime.
USAID development programs are no longer wanted by recipient countries in some cases. On February 2, the president of El Salvador, Nayib Bukele, posted the following on X:
Most governments don’t want USAID funds flowing into their countries because they understand where much of that money actually ends up.
While marketed as support for development, democracy, and human rights, the majority of these funds are funneled into opposition groups, NGOs with political agendas, and destabilizing movements.
At best, maybe 10 percent of the money reaches real projects that help people in need (there are such cases), but the rest is used to fuel dissent, finance protests, and undermine administrations that refuse to align with the globalist agenda.
Cutting this so-called aid isn’t just beneficial for the United States; it’s also a big win for the rest of the world.
DOGE’s revelations about USAID’s wasteful and fraudulent spending on foreign aid activities are only part of the story. Even more disturbing are its activities beyond foreign aid into radical leftwing cultural and political activism. According to former State Department official Mike Benz, this has been exacerbated in recent years with USAID’s embrace of disinformation campaigns and censorship efforts in collaboration with the State Department and the CIA.
Mr. Benz, founder and executive director of the Foundation for Freedom Online (FFO), provided a detailed report of USAID’s censorship operation from USAID’s own internal documents on March 14, 2024. The most shocking revelation from Benz’s investigation is that USAID’s censorship program was implemented domestically against Americans. Excerpts from the report:
USAID — the foreign-facing wing of the federal government that purports to use taxpayer dollars for ‘strengthening resilient democratic societies’ and exporting American democratic ideals abroad — has been quietly pushing private sector technology companies, media organizations, education ministries, national governments and funding bodies to adopt social media censorship practices, according to newly revealed internal documents.
USAID’s 97-page proprietary ‘Disinformation Primer,’ labeled ‘for internal use only’ was obtained by America First Legal (AFL), a public interest law firm conducting a number of major investigations and lawsuits into the censorship industry and its government partner agencies, after a lengthy process in which the US Department of State failed to respond to a Freedom of Information Act (FOIA) request and was compelled to turn over government documents after AFL succeeded in a formal lawsuit.
The USAID Disinformation Primer reveals a detailed compilation of the agency’s advocacy for some of the most economically damaging censorship strategies — many of which had been deployed in America to throttle populists in the 2020 elections and afterwards — and endorses recommendations from some of the most controversial censorship industry institutions under scrutiny by the US Congress.
USAID’s ‘Disinformation Primer’ outlining its censorship promotion strategies is dated February 2021, the first month after the Biden administration took office after the 2020 election. It proposes censorship action items for virtually every governmental, non-governmental and private sector commercial actor across society…
Benz has explained in recent interviews with Tucker Carlson and Joe Rogan that the CIA cannot lawfully engage in covert operations without a presidential finding; there is no such requirement for USAID. Thus, Benz claims that the CIA and the State Department use USAID to carry out covert operations that they want hidden from the president and Congress.
Independent journalist Michael Shellenberger corroborates Benz’s comments in his February 3 Substack piece, “USAID’s History Of Regime Change, Destabilization, And Censorship Justifies Its Closure By Trump” and expands further on USAID’s funding of global censorship. Shellenberger writes:
As part of US government efforts to overthrow governments abroad, or simply influence what they do, USAID has in recent years been funding censorship advocacy worldwide through its ‘Countering Disinformation’ program, which is part of its Consortium for Elections and Political Process Strengthening (CEPPS).
After DOGE exposed USAID’s decades of extensive waste, fraud, and abuse, the Trump administration shut down USAID’s head office in Washington, DC on February 7 and is reportedly planning to fire over 10,000 USAID staff and retain only 294. Both Trump and Musk favor abolishing USAID as an agency and moving any legitimate foreign aid functions into the State Department. Whether Trump has the legal authority to abolish USAID by executive order is legally questionable, but, at a minimum, Trump and Musk are right to dramatically downsize USAID, restore its transparency and accountability under the State Department, and return it to the basics of its original mission, as envisioned by John F. Kennedy in 1961.
In the 2022 BBC show Inside Man, Stanley Tucci’s character (Jefferson Grieff), an inmate on death row, says something dramatic about murder: “There are moments that make murderers of us all… all it takes is a good reason and a bad day.”
In Unforgiving Places: The Unexpected Origins of American Gun Violence, University of Chicago Professor Jens Ludwig, goes further. He reduces that bad day to single ten-minute windows — and does away with much of the “good reason” part.
America’s gun violence is, as he puts it, the outcome of a simple formula: guns + violence.
We all come to the question of America’s gun violence, mass shootings and assaults, with implicit or preconceived notions — all too often lined up with our political or ideological priors. Ludwig summarizes the two major stories as bad people versus bad social or economic conditions. Those two stories, roughly corresponding to the political positions of those on the Right and the Left, don’t account for the real-life gun violence.
Ludwig painstakingly assesses the statistics he reports. Channeling his best H.L. Mencken (“For every complex problem there is a solution which is clear, simple, and wrong”), Ludwig explains that it’s not — like the Right thinks — that there bad people pathologically out for blood; and it’s not — like the Left thinks — good people in bad circumstances (racism, poverty, oppression, deprivation) forced into crime by the lack of any other choice.
The most obvious anomalies have to do with large gun presence in some places; Switzerland or Finland (even Canada!) have plenty of guns but few murders, while the UK has almost no guns but an abundance of murders. Ludwig limits the scope to his own home turf and the typical analytical approach of randomized control trials, by looking across two neighborhoods in Chicago — South Shore and Greater Grand Crossing.
Right off the bat, in the preface, Ludwig lays out the empirical anomaly that blows apart what almost everyone thinks they know about guns in America:
The two neighborhoods are dramatically different in one important respect: On a per-capita basis, there are about twice as many shootings in Greater Grand Crossing as in South Shore. Whatever you believe about the causes of gun violence in America, those beliefs almost surely fail to explain why Greater Grand Crossing would be so much more of a violent place than South Shore.
Same gun laws and access to guns, same court system, same socioeconomic conditions, same racism and police (brutality), same segregation; thus: “the policy variables that we think of as determining public safety are identical in both places.”
He observes that more shootings and gun murders take place when it’s warmer outside, at night, and on weekends and holidays. Does a person’s fundamental moral character, or the extent to which they experience poverty (…or racism or oppression) shift that much?
Ludwig advances a different story: “Most homicides are arguments that end in tragedy, usually because someone has a gun.” Exaggerating only a little here, we can therefore all become murderers. Ludwig argues that anyone, at any moment, can fall into the System 1–type catastrophizing, or misconstruing of social situations, that escalate a conflict into homicide. He relays personal anecdotes of everyday disputes with neighbors or fellow drivers that could, in the presence of guns, very well have ended in disaster.
People just spur-of-the-moment kill each other; gun violence is gun plus violence.
Instead of getting bogged down in counting the number of guns in America or comparing changes in legal guns, he asks a more fruitful question: is there a theory that can weave itself between these puzzling facts?
Analytically, then, Ludwig cleverly hones in on economics’ own rationality postulate. Specifically, he takes Gary Becker to task for thinking that murder (and other violent crimes) are the outcomes of cold, calculating, utility-optimizers. People don’t always (or often), per the line from Inside Man, murder one another for good reasons. He accounts for plenty of examples over turf, social status, or robberies gone wrong. Sometimes the expected financial payoff to the murderer is: heads, I go to jail for life; tails, I get away with $300 worth of goods.
You’d need some pretty insane, risk-loving indifference curves to make rational sense of those decisions (or you’d have to really like violence, really like prison, or really like those goods).
If the rest of us can disrupt or change those critical ten-minute windows where conflict escalates into violence, and violence — via America’s outsized presence of guns — escalates into shootings, we can greatly reduce the frequency of homicides in America: “Violence interrupted can often be violence prevented.”
The story Ludwig paints is one of cognitive bandwidth, of occasional circumstances that can be calmed down by others around us; in short, physical places that are more forgiving to our very human (innocent?) shortcomings. People under stress — financial, social, moral — are more likely to react instinctively, less able to override their own System 1 steering them toward catastrophe.
That’s the practical and statistical difference between the two Chicago neighborhoods too: South Shore has more “liveliness” than Greater Grand Crossing — more densely populated, more businesses per square mile, more commercial land use, more residential housing, and more residents per square mile:
While the neighborhoods are socio-demographically similar today, the legacy of their built environment creates different conditions for liveliness and eyes on the street.
Ludwig’s explanation is brimming with paternalism, exactly Mario Rizzo and Glen Whitman’s main objection to the whole field of behavioral economics in Escaping Paternalism Rationality, Behavioral Economics, and Public Policy. While the word “economics” is in the subfield, there is very little “economics” (properly speaking) involved in Unforgiving Places. This is a sociological study, drawing on — at best — plenty of statistically focused randomized control trials and some questionable results from the field of psychology.
The best evidence he brings to the table is precisely these small-scale, scattered randomized control trials of different kinds of social-level interventions that interrupt violence mid-air. The shockingly large effect sizes (20-60 percent reductions in gun violence), make my alarm bells go off — à la The Quick Fix, Jesse Singal’s take-down of much psychological “research.”
The most compelling bits are the anecdotal stories, surrounded by Ludwig’s lengthy and well-described account of Jane Jacobs’ research on cities — the “eyes-on-the-street” lens through which she assessed crime and other social outcomes in Death and Life of Great American Cities. When people live, work, go to school, and operate stores on the same streets, there are always trusted community “eyes” watching out for mischief. When there’s an altercation, there are eyes peeking out of from second-floor windows; when others in the neighborhood start fighting, the butcher, the schoolteacher, the security guard, the police officer, or the social worker that happened to be around can step in and ask the very obvious and calming questions: What are we really angry about?Take a walk and get your outrage under control.
Interrupting violence is key. Because the source of (gun) violence isn’t a deep-seated moral failure or even desperation, but a momentary state of mind: “violence interrupted can often be violence prevented.”
Even though Ludwig works hard to bring supporting evidence to his story — threading his psychology-based explanation through the myriad of confusion and contradictory data surrounding guns, gun laws, and violence — the result is very… unsatisfactory. Not bad, not necessarily wrong, but unsatisfactory, located somewhere in the la-la-land of human behavior and social psychology.
The book’s central message is that people kill each other on a whim. Specifically over misunderstandings or small, everyday altercations that escalate into conflict and are made so much worse by the immediate presence of guns.
Perhaps that’s right, perhaps it’s all a distraction, but it’s definitely a refreshing take on America’s most pernicious social problem.
The first step in efficacious welfare reform is understanding the scale and scope of the challenges involved with each program. The implementation of the Patient Protection and Affordable Care Act (ACA) in 2014 and the changes to eligibility requirements and benefit limits due to the COVID-19 pandemic have dramatically changed the welfare program landscape in the last decade, potentially rendering a great deal of prior research outdated. This paper provides a detailed description of the nature of these changes by employing the methodology of Tanner, Moore, and Hartman (1995) and Tanner and Hughes (2013) in their respective Cato Studies of the same title: “The Work Versus Welfare Trade-Off.”
While this paper also draws on more recent analyses, both papers predate the ACA implementation and the COVID-19 pandemic, so they provide a good reference point. In addition to the welfare programs examined in the 2013 paper, this paper includes three additional programs: The Child Care and Development Fund, the Lifeline Program for Low-Income Consumers, and the Affordable Connectivity Program. The general conclusion is that the expansion of each of these programs makes welfare reform more urgent than ever because these programs trap millions in poverty and place an enormous strain on taxpayers.
Key Points
The total value of all welfare benefits examined in this paper pay more than both a starting salary and median income in all 50 states.
Recipients of Temporary Assistance for Needy Families (TANF) are the most likely to receive two or more welfare benefits. The TANF Bundle (TANF, SNAP, Housing, Medicaid, LIHEAP, the EITC, Lifeline, and the ACP) pays more than the starting salary in 48 states plus Washington, DC.
The most common welfare benefits bundle is Medicaid Supplemental Nutrition Assistance Program (SNAP), and the Earned Income Tax Credit (EITC). The bundle of Medicaid, SNAP and the EITC does not pay more than the starting salary in any state or DC.
Ultimately, welfare reform must be paired with regulatory reform and tax reform. Regulatory reforms help remove barriers to getting Americans back to work and tax reforms help working Americans keep more of what they earn, reducing the need for welfare programs.
Welfare and its Effects on Government and Work
Welfare, also known as public benefits, are forms of assistance from the government directed towards low-income citizens and families.1 Some non-citizens (such as refugees) are legally eligible for programs such as TANF, SNAP, and Medicaid.2 While undocumented citizens are not eligible for welfare benefits, there is concern of noncitizens accessing these benefits through means of identity fraud or misrepresentation of residency. Evidence for this is mixed at best. While the relaxation of eligibility requirements during the COVID-19 pandemic did result in an increase in fraudulent payments, data regarding fraudulent payments are not disaggregated to specify the immigration status of those caught and convicted of fraud.3 Welfare can be direct transfers from the government (such as cash assistance under the Temporary Assistance for Needy Families) or in-kind benefits (such as healthcare coverage under Medicaid). These programs are generally “means-tested programs,” where an individual or family must fall below a certain income threshold to qualify for benefits. These means-tested programs provide goods and services that individuals and families struggle to purchase on their own (i.e. food, housing, healthcare coverage, and childcare).4
It is important to consider both the seen and unseen effects of welfare spending. Even if we assume that these programs are reaching targeted demographics, they come at a major cost. First is the cost to taxpayers. The CBO estimates that Income Security Programs (such as TANF and SNAP), as well as Medicaid and the Children’s Health Insurance Program (CHIP) cost $1.05 trillion (65 percent of the $1.6 trillion federal budget deficit and 16 percent of the $6.5 trillion in annual federal spending).5 That is just over $8,000 per household or $6,850 per taxpayer.6 In addition to these direct costs, welfare programs negatively impact economic growth. Economists explain why a person would choose welfare over work in terms of income and substitution effects. The income effect shows that as income increases, individuals tend to demand leisure over labor. The same holds true when applied to welfare transfers. As individuals choose to not work or decrease their labor to maintain welfare benefits, output decreases, reducing economic growth. On the other hand, the substitution effect (one’s willingness to give up welfare in exchange for work) shows how welfare punishes work. Some economists argue that individuals who choose to leave welfare lose more value in benefits than they gain from increased income, creating an incentive not to work.7
Figure 1: Civilian Labor Force Participation (age 25-54) 1996-2024
Note: Shaded areas indicate periods of recession. Source: U.S. Bureau of Labor Statistics, Labor Force Participation Rate [CIVPART], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CIVPART, June 7, 2024.
As Figure 1 shows, the Civilian Labor Force Participation rate for Americans aged 25-54 has steadily declined since the early 2000s and just returned to pre-pandemic levels in February 2023. Tanner (2022) also notes that the nature of in-kind benefits also “infantilizes the poor,” because, “in most cases, the payments are made directly to providers. The person being helped never even sees the money.”8
Cowen (2002) also notes two other groups hurt by welfare spending: the future poor and immigrants.9 As summarized by Henderson (2018), as economic output is reduced, the annual growth rate of the US economy decreases, resulting in greater future poverty.10 In addition, as welfare spending is funded by income taxes and the federal government issuing debt, capital is diverted away from the private sector to fund public spending, leaving less available for economic growth. Cowen and Henderson also note that poor foreigners are hurt by domestic pressures to limit immigration to reduce immigrant access to welfare. Without the welfare system an increase in immigration could potentially increase the incomes of foreign poor moving to the United States.11
Welfare also generates waste. Glock (2024) examines the net effects of taxes and transfers on US households. With welfare programs providing benefits to low-, middle-, and high-income households (especially in the wake of welfare expansion during the COVID-19 pandemic), Glock finds that in cases where welfare beneficiaries are earning income and paying taxes, they receive a value of benefits at least equivalent to the amount of taxes they paid.12 Ultimately, this creates waste by requiring bureaucracies to manage the tax collections and transfers, and limits options for families by requiring them to comply with tax and benefit rules instead of keeping the cash they earn.13
These programs broadly function based on the interaction between federal and state policies, although each program is slightly different (the differences of the programs discussed in this paper are addressed in the next section). Generally, the federal government provides funding to welfare programs and sets minimum requirements for spending, while the states have the power to administer these programs, allowing the states some flexibility as to how the program functions within a particular state.14 The result is that welfare benefits vary from state to state. Watson and Goodman (2024) found, however, that the states that spent the least amount of state funds on welfare received more federal dollars than the states that spent their own money, “which largely offset disparities in state-directed benefit generosity.”15
This paper will examine eleven welfare programs and the total monetary value of benefits provided to a hypothetical family with a single parent and two dependent children in all 50 states and the District of Columbia. The basis for the analysis comes from Tanner, Moore, and Hartman (1995) as well as Tanner and Hughes (2013).16, 17 These papers examined several combinations of welfare programs and compared these programs to minimum wage as well as a starting salary. This comparison provided a clear picture of the incentives Americans face when choosing to work or receive welfare.
The Categories of Welfare Included in this Study
This paper examines the following welfare programs:
Medicaid
Temporary Assistance for Needy Families (TANF)
The Earned Income Tax Credit (EITC)
The Child Care & Development Fund (CCDF)
Housing Choice Voucher Program (Section 8)
Low-Income Home Energy Assistance Program (LIHEAP)
Supplemental Nutrition Assistance Program (SNAP)
Special Supplemental Nutrition Program for Women, Infants, and Children (WIC)
The Emergency Food Assistance Program (TEFAP)
The Lifeline Program for Low-Income Consumers
The Affordable Connectivity Program (ACP)
This section will briefly describe the categories of welfare included in each study, as well as their respective changes and participation rates over time. As noted by Tanner and Hughes (2013), the federal government offered 126 programs to low-income families.18 Of those 126 programs, 72 were direct cash transfers or in-kind for individuals and families transfers, while the remainder were considered “community investment programs.”19
As of the most recent Census data available, the US Census Bureau found that 99.1 million people (30 percent of the US population) participated in at least one welfare program (although they did not cover all welfare programs).20 Among households, the Census Survey of Income and Program Participation (SIPP) finds that 75.3 million households (56 percent) were enrolled in “any benefit/program,” while 21.5 million households (16 percent) were enrolled in three or more programs.21 Simply tallying the total number of participants in each program, however, would not provide an accurate estimate of the total number of Americans accessing welfare, because many participants are enrolled in multiple programs. A 2023 study from the US Government’s Office of Human Services Policy found that 54 percent of welfare recipients in 2019 participated in multiple programs.22 A companion study found that in 2019 TANF and Child Care and Development Fund (CCDF) recipients were the most likely to receive multiple benefits.23
This study also relies on the University of Kentucky Center for Poverty Research, as well as specific program participation data up through 2022. These datasets, unfortunately, do not provide information regarding how many recipients participate in multiple programs. As Rector and Menon (2018) note, “The true monetary cost of welfare is largely unknown, because the spending is fragmented into myriad programs.”24
The failure to provide clear information highlights both the limitations of this study and a serious concern for policymakers and taxpayers. Without an accurate count of who is receiving welfare, policymakers will not be able to properly reform welfare spending nor enact reforms that help recipients trapped in a cycle of dependence. If one considers a more cynical point of view, policymakers may not want to know these details because their own job security depends upon maintaining the status quo.
Medicaid
Medicaid, Title IX of the Social Security Act, is a joint federal-state program that finances health care to the poor. Traditional Medicaid eligibility is limited to low-income children, pregnant women, parents of dependent children, the elderly, and people with disabilities.25 In this program, states are guaranteed federal matching dollars without a cap for qualified services, based on a formula that matches at least 50 percent of state spending. This matching rate increases as state per-capita income decreases. Looking ahead at FY 2025, the federal matching for state funds is expected to range from 50 percent to nearly 75 percent.26
Under the Patient Protection and Affordable Care Act (ACA), states had the option to expand Medicaid to non-elderly adults with income up to 133 percent of the Federal Poverty Level.27 When states were initially allowed to expand Medicaid starting January 1, 2014, the federal government promised to cover 100 percent of Medicaid Expansion as an incentive for states to expand Medicaid.28 With this promise of a “free lunch,” many states rushed to expand Medicaid, and Medicaid enrollment increased.
Some of the largest increases came from the newly qualified able-bodied adults without dependents. To complicate matters further, Schmidt, et al (2021) found that Medicaid Expansion resulted an increase in enrollment for TANF, SNAP, and the EITC.29 As of June 2024, 40 states and Washington, DC30 have expanded Medicaid.31 During the COVID-19 pandemic, the federal government placed a requirement in the CARES Act for states to keep Medicaid recipients continuously enrolled in exchange for federal funds.32 Medicaid began “unwinding” from these pandemic provisions on April 1, 2023. In most states, Medicaid pays more than the average single insurance premium. The best way to improve Medicaid is to repeal the expansions created by the ACA and ensure that this program focuses on the poor.33 This is shown in Table 1.
Jurisdiction
Medicaid Benefit Spending Per Full-Year Equivalent Enrollee (FYE)
Average Annual Single Premium per Enrolled Employee for Employer-Based Health Insurance (Employee and Employer Contribution)
Alabama
$6,848.05
$6,769.00
Alaska
$9,083.22
$8,624.00
Arizona
$8,921.21
$7,214.00
Arkansas
$7,849.95
$6,861.00
California
$8,810.95
$7,547.00
Colorado
$7,629.05
$7,031.00
Connecticut
$9,249.15
$8,237.00
Delaware
$9,877.08
$8,168.00
District of Columbia
$12,871.12
$8,650.00
Florida
$6,124.24
$7,551.00
Georgia
$5,830.17
$7,367.00
Hawaii
$7,246.82
$7,367.00
Idaho
$7,827.38
$7,292.00
Illinois
$8,731.45
$7,547.00
Indiana
$9,389.60
$7,601.00
Iowa
$8,489.98
$7,433.00
Kansas
$10,096.23
$6,885.00
Kentucky
$9,341.50
$6,990.00
Louisiana
$7,657.44
$7,422.00
Maine
$10,771.50
$7,993.00
Maryland
$9,554.73
$7,978.00
Massachusetts
$11,879.30
$8,054.00
Michigan
$7,558.35
$7,276.00
Minnesota
$12,366.61
$7,526.00
Mississippi
$8,043.59
$6,726.00
Missouri
$9,888.68
$7,737.00
Montana
$8,432.28
$7,759.00
Nebraska
$10,653.85
$7,601.00
Nevada
$6,141.03
$6,848.00
New Hampshire
$10,383.05
$8,053.00
New Jersey
$10,200.78
$8,183.00
New Mexico
$8,331.67
$7,794.00
New York
$10,884.16
$8,936.00
North Carolina
$8,880.73
$7,753.00
North Dakota
$12,535.35
$7,841.00
Ohio
$9,508.21
$7,743.00
Oklahoma
$6,985.62
$6,713.00
Oregon
$10,968.75
$7,091.00
Pennsylvania
$12,101.94
$8,098.00
Rhode Island
$9,263.54
$8,215.00
South Carolina
$6,150.43
$7,252.00
South Dakota
$8,823.99
$7,640.00
Tennessee
$6,933.45
$7,182.00
Texas
$8,379.29
$7,351.00
Utah
$9,062.77
$6,746.00
Vermont
$8,312.50
$8,417.00
Virginia
$10,163.97
$7,676.00
Washington
$11,271.91
$7,170.00
West Virginia
$8,246.74
$8,065.00
Wisconsin
$8,179.34
$7,673.00
Wyoming
$8,995.54
$7,982.00
Table 1: Medicaid Spending vs Private Sector Premiums
Sources: MACStats, Exhibit 22: Medicaid Benefit Spending Per Full-Year Equivalent (FYE) Enrollee by State and Eligibility Group, December 2023, Accessed March 5, 2024, https://www.macpac.gov/publication/medicaid-benefit-spending-per-full-year-equivalent-fye-enrollee-by-state-and-eligibility-group/; Kaiser Family Foundation, Average Annual Single Premium per Enrolled Employee For Employer-Based Health Insurance, 2022, Accessed March 5, 2024, https://www.kff.org/other/state-indicator/single-coverage/?currentTimeframe=0&sortModel=%7B%22colId%22:%22Location%22,%22sort%22:%22asc%22%7D
Temporary Assistance for Needy Families (TANF)
The Temporary Assistance for Needy Families (TANF) is the primary cash benefit program for the poor. TANF was created in 1996 during the 1996 welfare reforms as the successor to Aid to Families with Dependent Children (AFDC). TANF, like Medicaid, is funded in the form of federal block grants to the states and state funds. With the welfare reforms of 1996, TANF enrollment saw major decline due to more stringent eligibility requirements and time limits. Figure 2 below shows the trend in total participants from 1980-2022.
Since 2013, TANF has undergone several changes. Initially, the focus remained on employment and strict work requirements, with states enhancing services to meet federal participation rates.34 As of FY 2022, only 35 percent of TANF recipients were employed and only 16 states required a job search upon application.36, 37
Table 2 shows the maximum monthly and annual TANF benefits, along with their hourly equivalents compared to the state minimum wage. Note that while TANF benefits pay less than state minimum wages, TANF participants were also the most likely to receive multiple benefits, with 87 percent of recipients participating in two or more programs.38 It is also important to note that less than a quarter of TANF funding (both federal and state) goes toward “basic assistance” (direct cash transfers).39 While this basic assistance makes up the single largest category (23 percent), the next two largest amounts of TANF funds go toward “Early Care and Education” (22.7 percent) and “Program Management” (10.4 percent). The remaining 44.3 percent goes toward myriad other programs.40
Figure 2: AFDC/TANF enrollees, 1980-2022
Note: Shaded areas indicate periods of recession. Source: University of Kentucky Center for Poverty Research. 2024. “UKCPR National Welfare Data, 1980-2022.” URL: http://ukcpr.org/resources/national-welfare-data (accessed June 1, 2024)
Jurisdiction
Monthly TANF Benefit
Annual Benefits
Hourly Equivalent
Minimum Wage
Alabama
$215.00
$2,580.00
$1.24
$7.25
Alaska
$923.00
$11,076.00
$5.33
$11.73
Arizona
$278.00
$3,336.00
$1.60
$14.35
Arkansas
$204.00
$2,448.00
$1.18
$11.00
California
$980.00
$11,760.00
$5.65
$16.00
Delaware
$338.00
$4,056.00
$1.95
$13.25
District of Columbia
$665.00
$7,980.00
$3.84
$17.50
Florida
$303.00
$3,636.00
$1.75
$12.00
Georgia
$280.00
$3,360.00
$1.62
$7.25
Hawaii
$610.00
$7,320.00
$3.52
$14.00
Idaho
$309.00
$3,708.00
$1.78
$7.25
Indiana
$288.00
$3,456.00
$1.66
$7.25
Iowa
$426.00
$5,112.00
$2.46
$7.25
Kansas
$429.00
$5,148.00
$2.48
$7.25
Kentucky
$262.00
$3,144.00
$1.51
$7.25
Louisiana
$484.00
$5,808.00
$2.79
$7.25
Maine
$628.00
$7,536.00
$3.62
$14.15
Maryland
$862.00
$10,344.00
$4.97
$15.00
Massachusetts
$752.00
$9,024.00
$4.34
$15.00
Michigan
$492.00
$5,904.00
$2.84
$10.33
Minnesota
$641.00
$7,692.00
$3.70
$10.85
Mississippi
$260.00
$3,120.00
$1.50
$7.25
Nebraska
$485.00
$5,820.00
$2.80
$12.00
Nevada
$386.00
$4,632.00
$2.23
$11.25
New Hampshire
$1,151.00
$13,812.00
$6.64
$7.25
New Jersey
$559.00
$6,708.00
$3.23
$15.13
New Mexico
$447.00
$5,364.00
$2.58
$12.00
New York
$789.00
$9,468.00
$4.55
$15.00
North Carolina
$272.00
$3,264.00
$1.57
$7.25
North Dakota
$486.00
$5,832.00
$2.80
$7.25
Ohio
$542.00
$6,504.00
$3.13
$10.45
Oklahoma
$292.00
$3,504.00
$1.68
$7.25
Oregon
$506.00
$6,072.00
$2.92
$14.20
Pennsylvania
$403.00
$4,836.00
$2.33
$7.25
Rhode Island
$721.00
$8,652.00
$4.16
$14.00
South Carolina
$308.00
$3,696.00
$1.78
$7.25
South Dakota
$630.00
$7,560.00
$3.63
$11.20
Tennessee
$387.00
$4,644.00
$2.23
$7.25
Texas
$312.00
$3,744.00
$1.80
$7.25
Vermont
$811.00
$9,732.00
$4.68
$13.67
Virginia
$587.00
$7,044.00
$3.39
$12.00
Washington
$654.00
$7,848.00
$3.77
$16.28
West Virginia
$542.00
$6,504.00
$3.13
$8.75
Wisconsin
$630.50
$7,566.00
$3.64
$7.25
Wyoming
$781.00
$9,372.00
$4.51
$7.25
Table 2: TANF Maximum Monthly Benefits for a Family of 3 with No Income
Sources: Urban Institute Welfare Rules Database, funded by HHS/ACF and Author’s calculations.
Earned Income Tax Credit (EITC)41
The Earned Income Tax Credit (EITC) is a refundable tax credit designed to benefit low-to-moderate-income working individuals and families, particularly those with children. Established in 1975, the EITC aims to reduce the tax burden on these groups, supplement their wages, and incentivize employment.42
Eligibility for the EITC depends on several factors, including income level, filing status, and the number of qualifying children.43 The credit increases with earned income until it reaches a maximum value, then gradually phases out as income continues to rise. For the 2023 tax year, the maximum credit ranges from $600 for individuals without children to over $7,000 for those with three or more qualifying children.One significant advantage of the EITC is its refundability, meaning that eligible recipients can receive a refund even if the credit exceeds their total tax liability.44 Tanner (2022) notes that the EITC has been more successful than other programs at fighting poverty.45
The EITC has also been associated with several positive outcomes, such as reducing poverty, particularly among children, and encouraging workforce participation.46 The EITC’s complexity, however, can lead to a high error rate (both fraud and improper calculation).47 Table 3 shows the Federal EITC Parameters as of 2024. As Table 3 shows, it imposes a penalty on marriage. A married couple with two children would exhaust benefits at $62,688, while a single parent would do so at just under $7,000 less. Tanner (2022) notes, “Thus, the single parent can continue to receive benefits at higher income levels relative to the poverty level than married couples can—and the credit is more generous since the benefits are being distributed among the three people, rather than four.”48 Macartney and Ghertner (2023) also find that 42 percent of EITC recipients are enrolled in two or more welfare programs, the most common programs being Medicaid (49 percent of EITC recipients in one or more welfare programs) and SNAP (36 percent of EITC recipients in one or more welfare programs).
Filing Status
Column1
No Children
One Child
Two Children
Three or More Children
Single or Head of Household
Income at Max Credit
$8,260
$12,390
$17,400
$17,400
Maximum Credit
$632
$4,213
$6,960
$7,830
Phaseout Begins
$10,330
$22,720
$22,720
$22,720
Phaseout Ends (Credit Equals Zero)
$18,591
$49,084
$55,768
$59,899
Married Filing Jointly
Income at Max Credit
$8,260
$12,390
$17,400
$17,400
Maximum Credit
$632
$4,213
$6,960
$7,830
Phaseout Begins
$17,250
$29,640
$29,640
$29,640
Phaseout Ends (Credit Equals Zero)
$25,511
$56,004
$62,688
$66,819
Table 3: 2024 Earned Income Tax Credit Parameters
Sources: Tax Foundation and Internal Revenue Service “Revenue Procedure 2023-34”
As of tax year 2021, over 32 million income tax returns received the EITC, with an average credit of $2,039.49 Figure 3 shows the number of income tax returns receiving the EITC since 1980. Note the sharp increases with the expansions in 1990, 1993, 2001, 2009, and 2021.
Figure 3: Income Tax Returns with Federal EITC
Note: Shaded areas indicate periods of recession. Source: Internal Revenue Service, Statistics of Income Division, Table 2.5: Returns with Earned Income Credit and Table A: Selected Income and Tax Items for Selected Years (in Current and Constant Dollars). January 2024.
In addition to the federal EITC, 27 states and DC also offer an Earned Income Tax Credit. Table 4 (recreated from the IRS) lists the states that offer an EITC along with their descriptions as well as whether the state EITC is refundable (even if one does not owe tax, he or she is still eligible for a refund).
State or Local Government
Percentage of Federal Credit
Is Credit Refundable?
California
45%
Yes
Colorado
10%
Yes
Connecticut
23%
Yes
Delaware
20%
No
District of Columbia
40%
Yes
Hawaii
20%
No
Illinois
18%
Yes
Indiana
9%
Yes
Iowa
15%
Yes
Kansas
17%
Yes
Louisiana
3.5%
Yes
Maine
5%
Yes
Maryland
50%
Yes
Massachusetts
30%
Yes
Michigan
6%
Yes
Minnesota
Ranges from 25%-45% of federal
Yes
Montana
3%
Yes
Nebraska
10%
Yes
New Jersey
39%
Yes
New Mexico
10%
Yes
New York
30%
Yes
New York City
5%
Yes
Ohio
30%
No
Oklahoma
5%
Yes
Oregon
9% (12% if qualifying child under age 3)
Yes
Rhode Island
15%
Yes
South Carolina
41.67%
No
Vermont
36%
Yes
Virginia
20%
No
Wisconsin
One child — 4%
Yes
Two Children — 11%
Three Children — 34%
Table 4: State or Local Government with EITC
Sources: Internal Revenue Service “State and Local Governments with Earned Income Tax Credit”
Child Care and Development Fund
The Child Care and Development Fund (CCDF), established in 1990 under the Child Care and Development Block Grant (CCDBG) Act, is a federal block grant to states to subsidize childcare costs for low-income families and is administered by the US Department of Health and Human Services (HHS).50
The CCDF has evolved over time. The 2014 reauthorization of the CCDBG Act brought significant changes, including requirements for enhanced health and safety standards (including transparency on compliance with parents), as well as increased provider training, inevitably creating regulatory barriers for those looking to provide childcare. Combined with the 2014 reauthorization’s increased access to early childhood education programs, demand for these programs inevitably exceeded the supply of providers.51 Many parents still struggle today to find desired childcare because of the shortage.52
During the COVID-19 pandemic, the CCDF saw unprecedented changes and expansions to address the crisis’s impact on the childcare sector. Congress appropriated over $52 billion in supplemental funding through various relief acts, including the CARES Act, the Coronavirus Response and Relief Supplemental Appropriations Act, and the American Rescue Plan Act (ARPA). These funds were crucial in preventing the collapse of the childcare system, which faced severe challenges due to widespread closures and reduced enrollment.
States utilized the supplemental funding to make several key adjustments including expanding eligibility for childcare subsidies, waiving family co-payments, and increasing reimbursement rates to providers. The Child Care Stabilization program, funded through ARPA, also provided grants to cover operational costs such as wages, rent, and supplies. Michigan, Nevada, and New Mexico also used the funds to increase compensation for childcare workers through higher wages, hiring and retention bonuses, and expanded benefits. Figure 4 shows the average number of children and families enrolled from 1998-2021.
Figure 4: Average Monthly Number of Families and Children Participating in CCDF
Note: Shaded areas indicate periods of recession. Source: US Administration for Children & Families, Office of Child Care, Program Data and Statistics.
Table 5 shows the total spending on all enrollees and the spending per family by state.
Jurisdiction
Total Spending
Spending per Family
Alabama
$224,721,469.00
$11,643.60
Alaska
$32,183,511.00
$18,931.48
Arizona
$301,739,612.00
$15,797.89
Arkansas
$144,929,008.00
$8,837.13
California
$1,483,390,130.00
$16,019.33
Colorado
$182,657,300.00
$20,072.23
Connecticut
$140,278,688.00
$19,483.15
Delaware
$42,623,720.00
$14,697.83
District of Columbia
$27,708,387.00
$39,583.41
Florida
$781,179,271.00
$11,590.20
Georgia
$518,767,129.00
$19,356.98
Hawaii
$54,498,716.00
$17,030.85
Idaho
$72,417,696.00
$19,572.35
Illinois
$521,297,983.00
$14,520.84
Indiana
$300,083,417.00
$21,132.64
Iowa
$126,523,907.00
$15,062.37
Kansas
$123,338,114.00
$19,893.24
Kentucky
$218,784,200.00
$24,582.49
Louisiana
$220,038,371.00
$17,889.30
Maine
$39,726,583.00
$14,188.07
Maryland
$233,658,867.00
$22,685.33
Massachusetts
$277,769,333.00
$17,360.58
Michigan
$383,370,136.00
$30,426.20
Minnesota
$226,711,728.00
$23,864.39
Mississippi
$136,595,744.00
$10,348.16
Missouri
$266,417,358.00
$17,188.22
Montana
$37,153,804.00
$21,855.18
Nebraska
$89,073,649.00
$23,440.43
Nevada
$109,859,173.00
$31,388.34
New Hampshire
$41,857,935.00
$16,099.21
New Jersey
$332,783,392.00
$20,416.16
New Mexico
$101,284,305.00
$16,603.98
New York
$828,164,984.00
$24,574.63
North Carolina
$471,298,032.00
$16,892.40
North Dakota
$29,348,707.00
$19,565.80
Ohio
$530,532,703.00
$29,474.04
Oklahoma
$209,792,226.00
$11,852.67
Oregon
$150,709,574.00
$20,094.61
Pennsylvania
$510,356,429.00
$12,570.36
Rhode Island
$42,184,194.00
$26,365.12
South Carolina
$216,519,453.00
$23,793.35
South Dakota
$38,189,582.00
$18,185.52
Tennessee
$359,710,683.00
$8,365.36
Texas
$1,405,868,263.00
$20,112.56
Utah
$163,052,924.00
$25,477.02
Vermont
$22,228,664.00
$11,114.33
Virginia
$319,442,293.00
$33,275.24
Washington
$305,829,505.00
$21,690.04
West Virginia
$79,427,382.00
$9,928.42
Wisconsin
$223,063,493.00
$24,784.83
Wyoming
$21,565,850.00
$14,377.23
Table 5: Child Care and Development Fund
Source: US Administration for Children & Families, Office of Child Care, Program Data and Statistics.FY2024 CCDF Funding Allocations (Based on Appropriations)
Housing Assistance
Housing assistance is available through various programs, including public housing, Housing Assistance Payments (commonly known as “Section 8”), and other rent subsidies. The amount of assistance varies not only by state but also within states, with higher amounts available in urban areas where rents and housing prices are higher. Just as Tanner and Hughes (2013), this paper uses average assistance level in each state, rather than the high (urban) or low (non-urban) levels.56 Those amounts are recreated in Table 6.
Jurisdiction
2024 State Average Housing Annual Payments
Alabama
$12,429.21
Alaska
$18,213.92
Arizona
$17,206.24
Arkansas
$11,285.95
California
$24,321.93
Colorado
$18,865.80
Connecticut
$21,212.09
Delaware
$18,860.80
District of Columbia
$26,829.60
Florida
$17,776.19
Georgia
$14,494.99
Hawaii
$27,324.00
Idaho
$14,005.96
Illinois
$12,118.45
Indiana
$12,665.35
Iowa
$11,475.08
Kansas
$11,721.23
Kentucky
$12,034.24
Louisiana
$13,035.68
Maine
$14,301.71
Maryland
$21,095.90
Massachusetts
$25,099.77
Michigan
$12,743.48
Minnesota
$13,718.68
Mississippi
$12,253.81
Missouri
$11,434.92
Montana
$12,498.90
Nebraska
$11,170.30
Nevada
$17,308.52
New Hampshire
$18,072.61
New Jersey
$23,746.97
New Mexico
$13,038.98
New York
$17,611.86
North Carolina
$14,240.57
North Dakota
$12,230.35
Ohio
$12,022.64
Oklahoma
$11,983.70
Oregon
$17,450.40
Pennsylvania
$13,688.78
Rhode Island
$22,148.68
South Carolina
$14,165.22
South Dakota
$12,456.84
Tennessee
$13,417.62
Texas
$14,206.62
Utah
$14,773.82
Vermont
$16,800.08
Virginia
$16,860.67
Washington
$18,788.00
West Virginia
$11,761.13
Wisconsin
$12,597.67
Wyoming
$13,790.82
Table 6: State Average Annual Housing Choice Voucher Payments
Sources: U.S. Department of Housing and Urban Development (HUD) Office of Policy Development and Research “Dataset: Fair Market Rents (40th Percentile Rents)
Since 2013, several states reduced housing benefits for recipients of other welfare programs. This reduction is partly due to decreased federal housing funds, and partly due to state policy decisions requiring recipients of benefits such as TANF to use their cash benefits for housing expenses.57 Additionally, recent policy changes have focused on increasing the availability of affordable housing through public-private partnerships and expanding housing vouchers to more low-income families, though the overall impact varies significantly by region.58
Low-Income Home Energy Assistance Program (LIHEAP)
The Low-Income Home Energy Assistance Program (LIHEAP) was established to reduce the burden of energy expenses on vulnerable populations, LIHEAP allocates funds to states, territories, and tribal organizations, which then distribute these funds to eligible households.59 The program particularly targets households with elderly members, individuals with disabilities, and families with young children, to ensure they receive necessary assistance.60
Eligibility for LIHEAP is determined based on income criteria, with states having the flexibility to set thresholds at or below 150 percent of the federal poverty guidelines or 60 percent of the state median income, whichever is higher.61 States may also choose to set lower income limits, but households with incomes below 110 percent of the federal poverty guidelines cannot be excluded from eligibility. Additionally, households receiving benefits from other federal programs such as TANF, Supplemental Security Income (SSI), and the Supplemental Nutrition Assistance Program (SNAP) may also qualify for LIHEAP assistance.62
Additional funding has been provided through various COVID-19 relief packages, substantially increasing the LIHEAP spending. States have received more flexibility in using these funds, including the ability to offer higher benefit levels and expand eligibility criteria. Enhanced crisis assistance measures have been implemented to prevent utility shut-offs and help households manage private debt accumulation resulting from job losses and economic instability.63 Benefits as of FY 2022 are shown in Table 7. Participation data were unavailable.
Jurisdiction
Average Annual Energy Benefits (Heating and Cooling)
Alabama
$805.00
Alaska
$1,350.00
Arizona
$1,437.00
Arkansas
$496.00
California
$880.00
Colorado
$465.00
Connecticut
$997.00
Delaware
$1,451.00
District of Columbia
$1,174.00
Florida
$1,327.00
Georgia
$965.00
Hawaii
$2,398.00
Idaho
$357.00
Illinois
$940.00
Indiana
$536.00
Iowa
$792.00
Kansas
$664.00
Kentucky
$472.00
Louisiana
$1,079.00
Maine
$755.00
Maryland
$851.00
Massachusetts
$1,344.00
Michigan
$9.00
Minnesota
$1,105.00
Mississippi
$1,830.00
Missouri
$843.00
Montana
$689.00
Nebraska
$872.00
Nevada
$573.00
New Hampshire
$1,342.00
New Jersey
$571.00
New Mexico
$524.00
New York
$1,239.00
North Carolina
$335.00
North Dakota
$1,171.00
Ohio
$312.00
Oklahoma
$691.00
Oregon
$788.00
Pennsylvania
$610.00
Rhode Island
$1,318.00
South Carolina
$1,526.00
South Dakota
$687.00
Tennessee
$1,449.00
Texas
$2,200.00
Utah
$1,056.00
Vermont
$572.00
Virginia
$1,358.00
Washington
$453.00
West Virginia
$479.00
Wisconsin
$432.00
Wyoming
$593.00
Table 7: State Average Annual Energy Benefits
Sources: U.S. Department of Health & Human Services Administration for Children and Families, Office of Community Services LIHEAP Performance Measurement Website.
Supplemental Nutrition Assistance Program (SNAP)
The Supplemental Nutrition Assistance Program (SNAP) provides financial assistance to low-income families for purchasing food. Formerly known as “food stamps,” the program was renamed in 2008 when paper vouchers were replaced by electronic debit cards.64 SNAP is fully funded by the federal government, and benefits are consistent across the country, with some exceptions.65 Benefits are designed so that eligible families do not spend more than 30 percent of their net income on a food package that meets the Agriculture Department’s “Thrifty Food Plan,” adjusted for household size and inflation.66
Eligibility for Temporary Assistance for Needy Families (TANF) automatically qualifies a family for SNAP in all 50 states. Because TANF cash benefits vary widely by state, however, the amount received in SNAP benefits also varies by state. Lower TANF benefits result in higher SNAP benefits. Excluding Alaska and Hawaii, states with low TANF benefits (such as Texas, Arkansas, and Tennessee) provide the highest SNAP benefits. Conversely, states with high TANF benefits, such as New Hampshire, Vermont, and California, provide the lowest SNAP benefits.67
Since the onset of the COVID-19 pandemic, several significant changes have been made to SNAP to address the increased demand for food assistance, including a 15 percent increase in SNAP benefits from January 2021 through September 2021.68
Additionally, the American Rescue Plan Act of 2021 provided further funding to enhance SNAP benefits and extend the Pandemic Electronic Benefit Transfer (P-EBT) program, which helps families with children who would have received free or reduced-price meals if schools were open.69 Many states also temporarily waived certain eligibility requirements to ensure more families could access assistance during the crisis.70 SNAP benefits were permanently raised starting in October 2021. Predictably, this led to an increase in SNAP participation, shown in Figure 5. SNAP Total Costs per person and household are shown in Table 8.
Figure 5: Total Food Stamp/SNAP Recipients 1980-2022
Note: Shaded areas indicate periods of recession. Source: University of Kentucky Center for Poverty Research. 2024. “UKCPR National
Jurisdiction
Per Household Cost
Per Person Cost
Alabama
$435.96
$219.90
Alaska
$795.42
$375.79
Arizona
$361.48
$174.67
Arkansas
$358.20
$181.99
California
$401.06
$229.80
Colorado
$404.93
$213.89
Connecticut
$381.69
$221.79
Delaware
$410.42
$203.71
District of Columbia
$378.21
$228.15
Florida
$435.96
$219.90
Georgia
$353.71
$175.05
Hawaii
$814.32
$444.96
Idaho
$335.86
$167.56
Illinois
$413.02
$223.18
Indiana
$382.00
$181.23
Iowa
$323.55
$161.56
Kansas
$444.47
$222.42
Kentucky
$367.13
$168.59
Louisiana
$443.95
$218.85
Maine
$361.08
$209.52
Maryland
$387.06
$210.11
Massachusetts
$391.83
$237.59
Michigan
$395.21
$210.33
Minnesota
$510.00
$260.67
Mississippi
$350.26
$177.30
Missouri
$383.53
$190.26
Montana
$322.16
$165.18
Nebraska
$338.15
$167.19
Nevada
$371.04
$195.31
New Hampshire
$389.95
$209.10
New Jersey
$413.85
$213.44
New Mexico
$425.47
$220.95
New York
$412.98
$239.53
North Carolina
$414.47
$211.23
North Dakota
$357.22
$181.36
Ohio
$404.90
$208.51
Oklahoma
$413.99
$210.47
Oregon
$362.12
$208.18
Pennsylvania
$382.18
$203.41
Rhode Island
$375.96
$230.74
South Carolina
$423.33
$207.73
South Dakota
$395.58
$191.99
Tennessee
$390.08
$199.40
Texas
$477.44
$215.42
Utah
$411.65
$205.34
Vermont
$394.40
$231.19
Virginia
$418.58
$215.37
Washington
$370.68
$212.24
West Virginia
$381.49
$204.97
Wisconsin
$383.13
$200.65
Wyoming
$390.20
$188.13
Table 8: State Average Annual SNAP Benefits
Source: United States Department of Agriculture, Supplemental Nutrition Assistance Program (SNAP). Accessed June 2024.
Special Supplemental Nutrition Program for Women, Infants, and Children (WIC)
The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is a federal assistance program administered by the USDA’s Food and Nutrition Service (FNS). It provides supplemental foods, health care referrals, and nutrition education to low-income pregnant, breastfeeding, and postpartum women, as well as infants and children up to age five who are found to be at nutritional risk.71
WIC funding primarily comes from federal sources, with annual appropriations determining the funding levels. Although the appropriations committees typically ensure sufficient funds to cover all eligible participants, some states also supplement federal funds with their own resources.72 The funding process includes formula grants to states, allocated based on criteria such as the previous year’s operational levels and adjustments for inflation. WIC also includes a contingency fund to handle unexpected shortfalls or increases in participation.73
The program’s benefits include vouchers for specific food items such as infant formula, fruits, vegetables, whole grains, and dairy products.74 Since 2017, several significant updates have been made to the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) to enhance its nutritional offerings and align with contemporary dietary guidelines.75
One of the major updates came from the United States Department of Agriculture’s Food and Nutrition Service (FNS) in 2024. These updates aimed to provide WIC participants with a broader variety of foods that meet the latest nutritional science and support healthy dietary patterns. The revisions included increasing the variety and number of fruits and vegetables, expanding whole- Additionally, canned fish and beans are now included in more food packages, and there is increased flexibility in the amount of infant formula provided to partially breastfed infants.76, 77
Given these updates, spending on WIC has dramatically increased. The FY 2023 “Food and Nutrition Assistance Landscape” Annual Report by the USDA found that spending on food-assistance programs (including SNAP and WIC) decreased in FY 2023 but remained higher than spending in years before 2020. WIC spending in 2020 totaled $6.6 billion, reflecting an increase in program participation and food cost increases. Spending decreased in FY 2023 largely due to lower spending on Pandemic Electronic Benefit Transfer (P-EBT).79 WIC participants are shown in Figure 6.
Figure 6: Total WIC Recipients 1989-2022
Note: Shaded areas indicate periods of recession.
Source: University of Kentucky Center for Poverty Research. 2024. “UKCPR National Welfare Data, 1980-2022.” URL: http://ukcpr.org/resources/national-welfare-data (accessed June 1, 2024)
Research has also shown that the WIC program has a significant impact on the infant formula market. Oliveira, eta al. found that “Most of the increase in market share is the direct effect of recipients purchasing the new WIC brand, but spillover effects also boost sales of the brand to non-WIC customers.”80 The WIC benefits by state are shown in Table 9.
Jurisdiction
Average Monthly Benefits per Recipient
Annual Benefit
Benefits for a Family with 2 Children
Alabama
$53.36
$640.27
$1,280.54
Alaska
$69.34
$832.06
$1,664.12
Arizona
$49.01
$588.13
$1,176.27
Arkansas
$52.55
$630.55
$1,261.10
California
$64.07
$768.84
$1,537.68
Colorado
$52.13
$625.58
$1,251.17
Connecticut
$58.58
$703.00
$1,406.00
Delaware
$39.37
$472.40
$944.80
District of Columbia
$39.57
$474.88
$949.75
Florida
$61.93
$743.10
$1,486.20
Georgia
$51.79
$621.46
$1,242.92
Hawaii
$67.93
$815.17
$1,630.35
Idaho
$47.60
$571.14
$1,142.28
Illinois
$58.44
$701.28
$1,402.56
Indiana
$48.03
$576.35
$1,152.70
Iowa
$53.80
$645.62
$1,291.24
Kansas
$49.83
$597.98
$1,195.96
Kentucky
$51.15
$613.74
$1,227.49
Louisiana
$50.92
$610.98
$1,221.97
Maine
$51.01
$612.06
$1,224.13
Maryland
$53.99
$647.86
$1,295.73
Massachusetts
$54.82
$657.79
$1,315.59
Michigan
$49.83
$597.92
$1,195.84
Minnesota
$54.31
$651.71
$1,303.41
Mississippi
$48.32
$579.88
$1,159.75
Missouri
$43.51
$522.15
$1,044.31
Montana
$50.37
$604.39
$1,208.78
Nebraska
$46.95
$563.43
$1,126.86
Nevada
$50.84
$610.06
$1,220.13
New Hampshire
$44.63
$535.51
$1,071.01
New Jersey
$76.32
$915.88
$1,831.75
New Mexico
$51.97
$623.62
$1,247.24
New York
$73.25
$879.01
$1,758.02
North Carolina
$47.91
$574.92
$1,149.84
North Dakota
$56.90
$682.80
$1,365.60
Ohio
$55.63
$667.56
$1,335.12
Oklahoma
$44.19
$530.26
$1,060.52
Oregon
$47.83
$573.99
$1,147.98
Pennsylvania
$57.44
$689.25
$1,378.50
Rhode Island
$51.67
$620.08
$1,240.16
South Carolina
$49.65
$595.85
$1,191.70
South Dakota
$47.37
$568.48
$1,136.97
Tennessee
$44.74
$536.84
$1,073.68
Texas
$46.01
$552.14
$1,104.28
Utah
$58.90
$706.77
$1,413.54
Vermont
$48.85
$586.18
$1,172.37
Virginia
$46.64
$559.72
$1,119.45
Washington
$48.15
$577.81
$1,155.62
West Virginia
$44.78
$537.42
$1,074.84
Wisconsin
$38.58
$462.95
$925.89
Wyoming
$50.75
$609.00
$1,218.00
Table 9: WIC Benefits by State for Families with Two Children
Sources: U.S. Department of Agriculture, Special Supplemental Nutrition Program for Women, Infants, and Children (WIC)
The Emergency Food Assistance Program (TEFAP)
The Emergency Food Assistance Program (TEFAP) supplies food to low-income individuals, offering support both directly to families for home consumption and indirectly through agencies that distribute prepared meals. Eligibility criteria for home consumption are determined by each state, with most states using an income threshold or considering applicants who participate in other means-tested programs such as SNAP.81
Like other welfare programs, TEFAP spending increased during the pandemic.82 These additional funds allowed TEFAP to purchase more food and expand its distribution networks. Moreover, TEFAP introduced flexibility in its operations to accommodate social distancing and other public health guidelines. This included the implementation of drive-through food distribution events and home delivery services to minimize physical contact and reduce the risk of virus transmission.83
While TEFAP participation data are not available, TEFAP offers estimated weekly and monthly food costs covered based on the age and sex of recipients. Those amounts are shown in Table 10.
This paper estimates the cost of food for a family with a mother aged 20-50 years ($242.20) with two children aged 6-8 years old ($199.40 each) for a monthly cost estimated at $641 and an annual cost estimated at $7,692.
Group
Age
Weekly Cost
Monthly Cost
Child
1 year
$25.20
$109.20
2-3 years
$37.90
$164.40
4-5 years
$41.30
$179.00
6-8 years
$46.00
$199.40
9-11 years
$53.20
$230.70
Male
12-13 years
$56.90
$246.70
14-19 years
$71.80
$311.10
20-50 years
$70.10
$303.60
51-70 years
$61.80
$267.90
71+ years
$58.90
$255.40
Female
12-13 years
$49.20
$213.20
14-19 years
$57.10
$247.20
20-50 years
$55.90
$242.30
51-70 years
$51.90
$225.10
71+ years
$57.20
$248.00
Table 10: TEFAP Benefits by Sex and Age
Sources: U.S. Department of Agriculture, USDA Food Plans: Monthly Cost of Food Reports
Lifeline Program for Low-Income Consumers and the Affordable Connectivity Program (ACP)
The Lifeline Program was established to provide cell phone and internet service to low-income families. Anyone already enrolled in Medicaid, SNAP, Rental Assistance (as well as other programs not included in this paper) is automatically eligible.84 If the applicant’s household income is at or below 135 percent of the poverty, he or she is also eligible for lifeline. The program offers a service discount of $9.25 per month for cell phone and/or internet service.
Implemented during the COVID-19 pandemic, the Affordable Connectivity Program (ACP) aimed to provide subsidies for broadband access to low-income households. Both Lifeline and ACP are grouped together because if a recipient was enrolled in Lifeline, he or she was automatically qualified for the ACP.85 This program offered $30 per month for qualifying households.86 Winfree (2024) notes that the program has inadvertently led to higher costs for low-speed internet plans.87 Furthermore, broadband providers have adjusted their pricing strategies to capture more of the subsidy provided to low-income households, thus increasing the overall cost burden on these consumers.88 Winfree (2024) suggested phasing out the ACP to prevent further market distortions and rising costs.89
As of the date of enrollment freeze on February 8, 2024, there were just under 23 million households (approximately 17.5 percent of all households in the US) enrolled in the ACP.90 These enrolled households received ACP coverage until the end of the program on June 1, 2024. The FCC notes, however, that “The ACP has ended for now,” implying that it will be brought back in the future.91
Total Welfare Benefits Across the States
Table 11 shows those amounts using all the programs included in this study, which results in a much larger increase in the total value of welfare benefit packages. As with Table 11, the 1995 amount is adjusted to 2023 dollars while the 2013 and 2024 amounts are adjusted for regional price parities (RPPs) by state. Adjusting for RPPs allow for comparisons of purchasing power across the states and DC. These figures represent the amount of benefits a family consisting of a single parent and two dependent children can receive annually. As a caveat, while it is likely for a recipient to be enrolled in multiple welfare benefits programs, it is unlikely for a recipient to be enrolled in all programs discussed in this paper. Alternative welfare program combinations are examined in the next section.
Jurisdiction
1995
2013
2024
Increase Since 1995
Increase Since 2013
Alabama
$25,677.12
$30,470.59
$48,150.19
$22,473.07
$17,679.60
Alaska
$63,601.31
$34,509.80
$72,831.32
$9,230.02
$38,321.52
Arizona
$27,849.67
$20,026.14
$60,779.98
$32,930.31
$40,753.84
Arkansas
$26,073.20
$15,986.93
$44,942.71
$18,869.51
$28,955.78
California
$47,602.61
$48,575.16
$76,529.52
$28,926.90
$27,954.35
Colorado
$41,281.05
$19,281.05
$68,173.45
$26,892.40
$48,892.40
Connecticut
$58,465.36
$58,000.00
$74,781.21
$16,315.85
$16,781.21
Delaware
$42,466.67
$38,196.08
$62,972.36
$20,505.70
$24,776.28
District of Columbia
$57,477.12
$66,431.37
$102,296.24
$44,819.11
$35,864.86
Florida
$35,949.02
$16,470.59
$54,746.07
$18,797.05
$38,275.48
Georgia
$34,368.63
$18,379.08
$58,707.58
$24,338.95
$40,328.50
Hawaii
$71,896.73
$79,202.61
$75,687.55
$3,790.82
-$3,515.06
Idaho
$35,552.94
$14,575.16
$59,764.03
$24,211.09
$45,188.87
Illinois
$38,318.95
$17,751.63
$57,269.79
$18,950.84
$39,518.16
Indiana
$37,528.10
$29,934.64
$62,678.31
$25,150.20
$32,743.67
Iowa
$37,528.10
$18,562.09
$55,782.36
$18,254.26
$37,220.27
Kansas
$34,763.40
$34,627.45
$61,910.89
$27,147.49
$27,283.44
Kentucky
$33,183.01
$17,450.98
$63,360.70
$30,177.69
$45,909.72
Louisiana
$33,577.78
$29,084.97
$58,947.74
$25,369.96
$29,862.77
Maine
$42,664.05
$18,196.08
$62,082.31
$19,418.26
$43,886.23
Maryland
$45,033.99
$49,882.35
$79,020.53
$33,986.55
$29,138.18
Massachusetts
$60,243.14
$66,065.36
$78,846.84
$18,603.70
$12,781.48
Michigan
$38,911.11
$34,549.02
$70,922.06
$32,010.94
$36,373.04
Minnesota
$41,083.66
$38,366.01
$72,853.95
$31,770.29
$34,487.94
Mississippi
$22,715.03
$15,464.05
$50,308.72
$27,593.69
$34,844.67
Missouri
$29,430.07
$29,803.92
$55,995.02
$26,564.95
$26,191.10
Montana
$32,196.08
$35,202.61
$63,848.70
$31,652.62
$28,646.08
Nebraska
$31,405.23
$18,849.67
$66,415.11
$35,009.88
$47,565.43
Nevada
$39,899.35
$38,980.39
$79,034.10
$39,134.76
$40,053.71
New Hampshire
$45,033.99
$51,960.78
$73,738.72
$28,704.73
$21,777.93
New Jersey
$52,342.48
$56,797.39
$76,381.61
$24,039.13
$19,584.23
New Mexico
$36,738.56
$36,470.59
$57,919.88
$21,181.32
$21,449.29
New York
$53,922.88
$57,124.18
$78,784.65
$24,861.78
$21,660.47
North Carolina
$33,183.01
$33,673.20
$57,394.06
$24,211.06
$23,720.86
North Dakota
$34,763.40
$37,686.27
$65,374.23
$30,610.83
$27,687.95
Ohio
$34,368.63
$34,248.37
$71,585.16
$37,216.53
$37,336.79
Oklahoma
$34,960.78
$29,385.62
$48,601.90
$13,641.11
$19,216.28
Oregon
$37,924.18
$44,836.60
$69,494.65
$31,570.47
$24,658.05
Pennsylvania
$38,911.11
$37,477.12
$58,351.37
$19,440.26
$20,874.25
Rhode Island
$51,552.94
$56,640.52
$81,558.92
$30,005.98
$24,918.40
South Carolina
$31,998.69
$28,640.52
$63,561.41
$31,562.72
$34,920.89
South Dakota
$34,171.24
$34,784.31
$61,721.04
$27,549.80
$26,936.73
Tennessee
$27,060.13
$15,843.14
$49,340.63
$22,280.50
$33,497.50
Texas
$30,023.53
$16,405.23
$62,030.58
$32,007.05
$45,625.35
Utah
$39,305.88
$18,235.29
$70,437.58
$31,131.70
$52,202.29
Vermont
$41,281.05
$55,359.48
$60,631.23
$19,350.18
$5,271.75
Virginia
$45,627.45
$19,437.91
$82,633.43
$37,005.98
$63,195.52
Washington
$40,886.27
$37,699.35
$75,161.84
$34,275.56
$37,462.49
West Virginia
$30,023.53
$32,549.02
$55,991.99
$25,968.46
$23,442.97
Wisconsin
$38,318.95
$19,464.05
$66,956.23
$28,637.27
$47,492.17
Wyoming
$37,726.80
$42,640.52
$61,174.96
$23,448.17
$18,534.44
Table 11: Welfare Benefit Totals 1995, 2013, and 2024 (2023 Dollars, adjusted for RPP)
Notes: The amount this hypothetical family of 3 would receive from the EITC in this scenario is based on the maximum amount of income this family could earn while still remaining fully eligible for TANF for the maximum time of 25 months.. Virginia earned income is based upon the TANF eligibility through the VIEW program. VIEW recipients are subject to a 24-month limit on TANF benefits followed by a 24-month period of ineligibility. If a recipient participates in VIEW after his or her period of ineligibility is over, he or she may earn $1,830 and remain eligible. The amount shown in the table applies to recipients who received an extension or exemption to the time limit.
Sources: U.S. Department of Health and Human Services, U.S. Department of Agriculture, Center for Medicare and Medicaid Services, U.S. Department of Housing and Urban Development, Welfare Rules Database, Tax Foundation, Tanner, Moore, and Hartman (1995), Tanner and Hughes (2013), and Author’s calculations. Regional price parities (RPPs) by state and metro area from the U.S. Bureau of Economic Analysis (BEA)
How Does Welfare Pay Compared to Work?
Tanner and Hughes (2013) found that “Welfare currently pays more than a minimum-wage job in 35 states, even after accounting for the Earned Income Tax Credit, and in 13 states, it pays more than $15 per hour.”92 The results here show that welfare currently pays more than a minimum wage job in all 50 states. It is important to note here that the federal minimum wage has not changed since July 2009, making its inflation-adjusted value lower over time while welfare benefits are adjusted for inflation.93 This holds true when restricting the programs to those used in the 2013 paper, as well as in all programs included in this paper. These results also account for the Earned Income Tax Credit and Child Tax Credit.
Table 12 compares total welfare benefit packages in each state to the tenth percentile income (a proxy for a starting salary) for each state.
In all 50 states, welfare pays more than the tenth percentile annual income, both before and after taxes.94
Jurisdiction
Total Welfare Benefits
Pretax Wage Equivalent (10th Percentile)
Payroll Tax
Federal Income Tax (Minus Credits)
State Income Tax (Minus Credits)
Total Tax Liability
After-Tax Income
Alabama
$48,150.19
$21,580
$1,826.06
-$8,603.40
$1,903.50
-$4,873.85
$26,453.85
Alaska
$72,831.32
$29,540
$2,861.10
-$5,974.20
$0.00
-$3,113.10
$32,653.10
Arizona
$60,779.98
$29,220
$2,347.79
-$6,075.60
$567.25
-$3,160.57
$32,380.57
Arkansas
$44,942.71
$24,520
$1,734.26
-$7,629.60
$1,976.92
-$3,918.43
$28,438.43
California
$76,529.52
$31,520
$2,688.21
-$5,315.60
$4,818.78
$2,191.39
$29,328.61
Colorado
$68,173.45
$30,520
$2,727.23
-$5,645.60
-$1,423.48
-$4,341.86
$34,861.86
Connecticut
$74,781.21
$29,550
$2,844.27
-$5,963.00
$3,331.10
$212.37
$29,337.63
Delaware
$62,972.36
$26,630
$2,490.08
-$6,934.40
$3,087.85
-$1,356.48
$27,986.48
District of Columbia
$102,296.24
$35,790
$5,227.25
-$3,908.20
$10,522.00
$11,841.05
$23,948.96
Florida
$54,746.07
$25,070
$2,005.83
-$7,447.60
$0.00
-$5,441.77
$30,511.77
Georgia
$58,707.58
$22,830
$2,164.19
-$8,190.40
$1,695.86
-$4,330.35
$27,160.35
Hawaii
$75,687.55
$27,850
$2,597.94
-$6,525.00
$8,592.44
$4,665.38
$23,184.62
Idaho
$59,764.03
$23,530
$1,947.69
-$7,959.40
$1,066.68
-$4,945.03
$28,475.03
Illinois
$57,269.79
$28,370
$2,515.32
-$6,356.60
$1,029.26
-$2,812.02
$31,182.02
Indiana
$62,678.31
$24,810
$2,103.75
-$7,531.80
$623.55
-$4,804.50
$29,614.50
Iowa
$55,782.36
$24,970
$2,275.88
-$7,480.60
$3,307.05
-$1,897.68
$26,867.68
Kansas
$61,910.89
$23,360
$2,086.16
-$8,010.80
$3,104.24
-$2,820.41
$26,180.41
Kentucky
$63,360.70
$22,980
$1,956.87
-$8,141.40
$1,480.80
-$4,703.73
$27,683.73
Louisiana
$58,947.74
$20,680
$1,864.31
-$8,714.40
$1,265.00
-$5,585.10
$26,265.10
Maine
$62,082.31
$29,600
$2,357.73
-$5,946.00
$1,764.75
-$1,823.52
$31,423.52
Maryland
$79,020.53
$28,950
$2,816.73
-$6,161.00
-$1,450.93
-$4,795.20
$33,745.20
Massachusetts
$78,846.84
$33,140
$3,354.53
-$4,784.20
$2,562.50
$1,132.83
$32,007.18
Michigan
$70,922.06
$27,050
$2,363.85
-$6,789.00
$300.85
-$4,124.30
$31,174.30
Minnesota
$72,853.95
$29,020
$2,613.24
-$6,141.60
$4,020.00
$491.64
$28,528.37
Mississippi
$50,308.72
$20,460
$1,644.75
-$8,740.80
$1,588.60
-$5,507.45
$25,967.45
Missouri
$55,995.02
$25,750
$2,119.82
-$7,219.00
$2,558.53
-$2,540.66
$28,290.66
Montana
$63,848.70
$24,540
$2,112.17
-$7,627.20
$1,931.99
-$3,583.05
$28,123.05
Nebraska
$66,415.11
$25,770
$2,256.75
-$7,216.60
$4,201.64
-$758.21
$26,528.21
Nevada
$79,034.10
$23,090
$2,005.07
-$8,106.20
$0.00
-$6,101.14
$29,191.14
New Hampshire
$73,738.72
$28,360
$2,548.98
-$6,357.80
$0.00
-$3,808.82
$32,168.82
New Jersey
$76,381.61
$29,090
$2,790.72
-$6,123.20
$2,072.67
-$1,259.81
$30,349.81
New Mexico
$57,919.88
$24,330
$1,935.45
-$7,694.40
-$14.05
-$5,773.00
$30,103.00
New York
$78,784.65
$31,200
$2,897.06
-$5,417.00
$2,060.60
-$459.35
$31,659.35
North Carolina
$57,394.06
$22,960
$2,081.57
-$8,143.80
$1,307.70
-$4,754.54
$27,714.54
North Dakota
$65,374.23
$28,250
$2,509.97
-$6,392.00
$639.80
-$3,242.24
$31,492.24
Ohio
$71,585.16
$24,650
$2,306.48
-$7,132.00
-$750.88
-$5,576.40
$30,226.40
Oklahoma
$48,601.90
$21,930
$1,874.25
-$8,488.40
$1,317.00
-$5,297.15
$27,227.15
Oregon
$69,494.65
$30,340
$2,537.51
-$5,710.20
$4,076.96
$904.27
$29,435.73
Pennsylvania
$58,351.37
$25,140
$2,386.04
-$7,429.20
$1,405.75
-$3,637.41
$28,777.41
Rhode Island
$81,558.92
$28,330
$2,659.14
-$6,372.40
$398.58
-$3,314.69
$31,644.69
South Carolina
$63,561.41
$22,320
$1,856.66
-$8,356.60
-$6,183.07
-$12,683.02
$35,003.02
South Dakota
$61,721.04
$26,310
$1,933.16
-$7,035.80
$0.00
-$5,102.65
$31,412.65
Tennessee
$49,340.63
$23,180
$1,937.75
-$8,074.40
$0.00
-$6,136.66
$29,316.66
Texas
$62,030.58
$22,710
$2,207.79
-$8,225.80
$0.00
-$6,018.01
$28,728.01
Utah
$70,437.58
$26,200
$2,285.06
-$7,070.00
$706.12
-$4,078.82
$30,278.82
Vermont
$60,631.23
$29,540
$2,503.08
-$5,974.20
-$3,159.18
-$6,630.30
$36,170.30
Virginia
$82,633.43
$26,280
$2,577.29
-$7,050.40
$1,205.68
-$3,267.44
$29,547.44
Washington
$75,161.84
$34,310
$3,191.58
-$4,390.80
-$900.00
-$2,099.22
$36,409.22
West Virginia
$55,991.99
$21,940
$1,772.51
-$8,487.20
$2,360.56
-$4,354.14
$26,294.14
Wisconsin
$66,956.23
$26,240
$2,375.33
-$7,065.20
$2,753.07
-$1,936.81
$28,176.81
Wyoming
$61,174.96
$24,780
$2,360.03
-$7,545.40
$0.00
-$5,185.38
$29,965.38
Table 12: Total Welfare Benefits Compared to Starting Salary (10th Percentile)
Sources: U.S. Department of Health and Human Services, U.S. Department of Agriculture, Center for Medicare and Medicaid Services, U.S. Department of Housing and Urban Development, Federal Communications Commission, Author’s calculations.
Rank
Jurisdiction
Total Welfare Benefits
Pretax Wage Equivalent (50th Percentile)
Percentage of Median Income
1
Arkansas
$44,942.71
$37,270.00
120.59%
2
Illinois
$57,269.79
$47,480.00
120.62%
3
District of Columbia
$102,296.24
$82,930.00
123.35%
4
Tennessee
$49,340.63
$39,930.00
123.57%
5
Oklahoma
$48,601.90
$39,100.00
124.30%
6
Alabama
$48,150.19
$38,470.00
125.16%
7
Iowa
$55,782.36
$44,350.00
125.78%
8
Pennsylvania
$58,351.37
$45,790.00
127.43%
9
Vermont
$60,631.23
$47,320.00
128.13%
10
Missouri
$55,995.02
$42,310.00
132.34%
11
Washington
$75,161.84
$56,320.00
133.45%
12
Delaware
$62,972.36
$47,150.00
133.56%
13
Florida
$54,746.07
$40,820.00
134.12%
14
Arizona
$60,779.98
$45,290.00
134.20%
15
Wyoming
$61,174.96
$45,450.00
134.60%
16
Massachusetts
$78,846.84
$58,450.00
134.90%
17
Colorado
$68,173.45
$50,250.00
135.67%
18
Maine
$62,082.31
$45,420.00
136.68%
19
Georgia
$58,707.58
$42,890.00
136.88%
20
North Carolina
$57,394.06
$41,810.00
137.27%
21
North Dakota
$65,374.23
$47,410.00
137.89%
22
Mississippi
$50,308.72
$36,100.00
139.36%
23
Alaska
$72,831.32
$52,000.00
140.06%
24
Texas
$62,030.58
$43,460.00
142.73%
25
Connecticut
$74,781.21
$51,780.00
144.42%
26
New Mexico
$57,919.88
$39,900.00
145.16%
27
Oregon
$69,494.65
$47,770.00
145.48%
28
Wisconsin
$66,956.23
$45,650.00
146.67%
29
Kansas
$61,910.89
$41,870.00
147.86%
30
West Virginia
$55,991.99
$37,770.00
148.24%
31
Indiana
$62,678.31
$42,100.00
148.88%
32
Idaho
$59,764.03
$40,060.00
149.19%
33
Minnesota
$72,853.95
$48,760.00
149.41%
34
New Jersey
$76,381.61
$51,080.00
149.53%
35
New York
$78,784.65
$52,470.00
150.15%
36
Nebraska
$66,415.11
$44,100.00
150.60%
37
Montana
$63,848.70
$42,210.00
151.26%
38
Louisiana
$58,947.74
$38,970.00
151.26%
39
Maryland
$79,020.53
$51,420.00
153.68%
40
California
$76,529.52
$49,740.00
153.86%
41
New Hampshire
$73,738.72
$47,920.00
153.88%
42
South Dakota
$61,721.04
$39,870.00
154.81%
43
Hawaii
$75,687.55
$48,560.00
155.86%
44
Michigan
$70,922.06
$45,500.00
155.87%
45
Kentucky
$63,360.70
$40,180.00
157.69%
46
Utah
$70,437.58
$44,470.00
158.39%
47
Ohio
$71,585.16
$44,750.00
159.97%
48
South Carolina
$63,561.41
$38,870.00
163.52%
49
Rhode Island
$81,558.92
$49,360.00
165.23%
50
Virginia
$82,633.43
$48,290.00
171.12%
51
Nevada
$79,034.10
$40,810.00
193.66%
Table 13: Total Welfare Benefits as a Percentage of State Median Income
Sources: U.S. Department of Health and Human Services, U.S. Department of Agriculture, Center for Medicare and Medicaid Services, U.S. Department of Housing and Urban Development, Federal Communications Commission, Author’s calculations.
In all 50 states, total welfare benefits pay more than the state median income. If a family does receive all the benefits measured in this paper (albeit doing so is incredibly rare) welfare recipients have a massive incentive not to work. It is important to note, however, that while Table 13 portrays rare instances in which a family would be receiving all benefits measured in this study, most welfare recipients are enrolled in multiple programs. This section will also examine several alternative scenarios of welfare benefit distribution. That distribution is based on the most likely combinations of benefits determined by the Office of the Assistant Secretary for Planning and Evaluation (ASPE).
The first bundle shows that of a TANF recipient, who is most likely to receive two or more programs (including eligibility for the EITC). It is also important to note that, with a TANF recipient extremely likely to receive SNAP and Medicaid, the probability of receiving housing assistance and energy assistance increases. In addition, receiving these programs automatically enrolls the recipient for cell phone and internet assistance (both Lifeline and the ACP). The greater amount between total welfare benefits and a post-tax starting salary (tenth percentile income) is in bold and italics.
Jurisdiction
TANF
SNAP
Housing
Medicaid
LIHEAP
EITC*
State EITC
Lifeline and ACP
Total
Starting Salary
Alabama
$2,580.00
$4,337.79
$12,429.21
$6,848.05
$805.00
$130.00
$0.00
$174.00
$27,304.05
$26,453.85
Alaska
$11,076.00
$4,286.59
$18,213.92
$9,083.22
$1,350.00
$930.00
$0.00
$174.00
$45,113.73
$32,653.10
Arizona
$3,336.00
$4,679.38
$17,206.24
$8,921.21
$1,437.00
$230.00
$0.00
$174.00
$35,983.83
$32,380.57
Arkansas
$2,448.00
$4,538.57
$11,285.95
$7,849.95
$496.00
$270.00
$0.00
$174.00
$27,062.47
$28,438.43
California
$11,760.00
$4,973.63
$24,321.93
$8,810.95
$880.00
$950.00
$427.50
$174.00
$52,298.01
$29,328.61
Colorado
$6,708.00
$4,956.20
$18,865.80
$7,629.05
$465.00
$510.00
$127.50
$174.00
$39,435.55
$34,861.86
Connecticut
$9,252.00
$4,955.81
$21,212.09
$9,249.15
$997.00
$770.00
$177.10
$174.00
$46,787.15
$29,337.63
Delaware
$4,056.00
$4,858.85
$18,860.80
$9,877.08
$1,451.00
$590.00
$26.55
$174.00
$39,894.28
$27,986.48
District of Columbia
$7,980.00
$4,682.35
$26,829.60
$12,871.12
$1,174.00
$870.00
$609.00
$174.00
$55,190.07
$23,948.96
Florida
$3,636.00
$4,580.24
$17,776.19
$6,124.24
$1,327.00
$330.00
$0.00
$174.00
$33,947.67
$30,511.77
Georgia
$3,360.00
$5,231.52
$14,494.99
$5,830.17
$965.00
$270.00
$0.00
$174.00
$30,325.68
$27,160.35
Hawaii
$7,320.00
$4,511.54
$27,324.00
$7,246.82
$2,398.00
$570.00
$114.00
$174.00
$49,658.36
$23,184.62
Idaho
$3,708.00
$4,925.05
$14,005.96
$7,827.38
$357.00
$390.00
$0.00
$174.00
$31,387.40
$28,475.03
Illinois
$6,588.00
$4,742.50
$12,118.45
$8,731.45
$940.00
$870.00
$174.00
$174.00
$34,338.40
$31,182.02
Indiana
$3,456.00
$6,120.02
$12,665.35
$9,389.60
$536.00
$810.00
$81.00
$174.00
$33,231.97
$29,614.50
Iowa
$5,112.00
$5,333.69
$11,475.08
$8,489.98
$792.00
$510.00
$76.50
$174.00
$31,963.25
$26,867.68
Kansas
$5,148.00
$4,966.22
$11,721.23
$10,096.23
$664.00
$470.00
$79.90
$174.00
$33,319.58
$26,180.41
Kentucky
$3,144.00
$4,332.98
$12,034.24
$9,341.50
$472.00
$250.00
$0.00
$174.00
$29,748.72
$27,683.73
Louisiana
$5,808.00
$4,030.36
$13,035.68
$7,657.44
$1,079.00
$250.00
$12.50
$174.00
$32,046.97
$26,265.10
Maine
$7,536.00
$5,079.90
$14,301.71
$10,771.50
$755.00
$650.00
$78.00
$174.00
$39,346.12
$31,423.52
Maryland
$10,344.00
$4,967.85
$21,095.90
$9,554.73
$851.00
$490.00
$137.20
$174.00
$47,614.68
$33,745.20
Massachusetts
$9,024.00
$4,597.59
$25,099.77
$11,879.30
$1,344.00
$690.00
$207.00
$174.00
$53,015.67
$32,007.18
Michigan
$5,904.00
$4,859.19
$12,743.48
$7,558.35
$9.00
$470.00
$141.00
$174.00
$31,859.02
$31,174.30
Minnesota
$7,692.00
$4,577.86
$13,718.68
$12,366.61
$1,105.00
$1,070.00
$267.50
$174.00
$40,971.65
$28,528.37
Mississippi
$3,120.00
$5,327.40
$12,253.81
$8,043.59
$1,830.00
$190.00
$0.00
$174.00
$30,938.80
$25,967.45
Missouri
$3,504.00
$3,865.89
$11,434.92
$9,888.68
$843.00
$150.00
$15.00
$174.00
$29,875.49
$28,290.66
Montana
$7,056.00
$3,882.56
$12,498.90
$8,432.28
$689.00
$330.00
$9.90
$174.00
$33,072.64
$28,123.05
Nebraska
$5,820.00
$5,105.67
$11,170.30
$10,653.85
$872.00
$710.00
$71.00
$174.00
$34,576.81
$26,528.21
Nevada
$4,632.00
$9,545.09
$17,308.52
$6,141.03
$573.00
$190.00
$0.00
$174.00
$38,563.64
$29,191.14
New Hampshire
$13,812.00
$4,732.84
$18,072.61
$10,383.05
$1,342.00
$930.00
$0.00
$174.00
$49,446.50
$32,168.82
New Jersey
$6,708.00
$4,680.95
$23,746.97
$10,200.78
$571.00
$450.00
$180.00
$174.00
$46,711.70
$30,349.81
New Mexico
$5,364.00
$4,584.00
$13,038.98
$8,331.67
$524.00
$410.00
$102.50
$174.00
$32,529.15
$30,103.00
New York
$9,468.00
$5,022.99
$17,611.86
$10,884.16
$1,239.00
$590.00
$177.00
$174.00
$45,167.00
$31,659.35
North Carolina
$3,264.00
$4,405.52
$14,240.57
$8,880.73
$335.00
$270.00
$0.00
$174.00
$31,569.82
$27,714.54
North Dakota
$5,832.00
$4,448.12
$12,230.35
$12,535.35
$1,171.00
$270.00
$0.00
$174.00
$36,660.82
$31,492.24
Ohio
$6,504.00
$4,203.16
$12,022.64
$9,508.21
$312.00
$530.00
$159.00
$174.00
$33,413.00
$30,226.40
Oklahoma
$3,504.00
$4,298.39
$11,983.70
$6,985.62
$691.00
$330.00
$16.50
$174.00
$27,983.21
$27,227.15
Oregon
$6,072.00
$4,746.91
$17,450.40
$10,968.75
$788.00
$410.00
$36.90
$174.00
$40,646.96
$29,435.73
Pennsylvania
$4,836.00
$4,939.81
$13,688.78
$12,101.94
$610.00
$490.00
$0.00
$174.00
$36,840.52
$28,777.41
Rhode Island
$8,652.00
$4,345.42
$22,148.68
$9,263.54
$1,318.00
$690.00
$103.50
$174.00
$46,695.14
$31,644.69
South Carolina
$3,696.00
$4,812.72
$14,165.22
$6,150.43
$1,526.00
$410.00
$170.85
$174.00
$31,105.21
$35,003.02
South Dakota
$7,560.00
$4,644.73
$12,456.84
$8,823.99
$687.00
$350.00
$0.00
$174.00
$34,696.56
$31,412.65
Tennessee
$4,644.00
$5,231.52
$13,417.62
$6,933.45
$1,449.00
$710.00
$0.00
$174.00
$32,559.59
$29,316.66
Texas
$3,744.00
$4,057.82
$14,206.62
$8,379.29
$2,200.00
$130.00
$0.00
$174.00
$32,891.73
$28,728.01
Utah
$5,976.00
$4,452.44
$14,773.82
$9,062.77
$1,056.00
$430.00
$0.00
$174.00
$35,925.03
$30,278.82
Vermont
$9,732.00
$4,701.95
$16,800.08
$8,312.50
$572.00
$530.00
$190.80
$174.00
$41,013.33
$36,170.30
Virginia
$7,044.00
$4,586.10
$16,860.67
$10,163.97
$1,358.00
$730.00
$146.00
$174.00
$41,062.74
$29,547.44
Washington
$7,848.00
$5,729.27
$18,788.00
$11,271.91
$453.00
$530.00
$0.00
$174.00
$44,794.18
$36,409.22
West Virginia
$6,504.00
$9,771.86
$11,761.13
$8,246.74
$479.00
$370.00
$0.00
$174.00
$37,306.73
$26,294.14
Wisconsin
$7,566.00
$4,244.50
$12,597.67
$8,179.34
$432.00
$0.00
$0.00
$174.00
$33,193.50
$28,176.81
Wyoming
$9,372.00
$4,602.37
$13,790.82
$8,995.54
$593.00
$550.00
$0.00
$174.00
$38,077.73
$29,965.38
Table 14: Does Welfare Pay More Than Starting Salary? (TANF Bundle)
Notes: EITC is based on the maximum amount of earned income allowed for a family of 3 that allows them to receive the EITC and remain eligible for TANF by month 25. Virginia earned income is based upon the TANF eligibility through the VIEW program. VIEW recipients are subject to a 24-month limit on TANF benefits followed by a 24-month period of ineligibility. If a recipient participates in VIEW after his or her period of ineligibility is over, he or she may earn $1,830 and remain eligible. The amount shown in the table applies to recipients who received an extension or exemption to the time limit.
Sources: U.S. Department of Health and Human Services, U.S. Department of Agriculture, Center for Medicare and Medicaid Services, U.S. Department of Housing and Urban Development, Welfare Rules Database, Tax Foundation, and Author’s calculations.
This bundle of welfare programs pays more than the starting salary (tenth percentile income) in 48 states and DC. The only states where a starting salary pays more than welfare are Arkansas and South Carolina.
The next bundle examined is the most common bundle of welfare assistance based on Macartney and Ghertner (2019): Medicaid, SNAP, and the EITC compared to a starting salary (tenth percentile income after taxes).95 This combination, however, does not pay more than a starting salary in any state.
Jurisdiction
SNAP
Medicaid
EITC*
State EITC
Total
Starting Salary
Alabama
$4,337.79
$6,848.05
$4,337.00
$0.00
$15,522.84
$26,453.85
Alaska
$4,286.59
$9,083.22
$4,337.00
$0.00
$17,706.81
$32,653.10
Arizona
$4,679.38
$8,921.21
$4,337.00
$0.00
$17,937.59
$32,380.57
Arkansas
$4,538.57
$7,849.95
$4,337.00
$0.00
$16,725.52
$28,438.43
California
$4,973.63
$8,810.95
$4,337.00
$1,951.65
$20,073.23
$29,328.61
Colorado
$4,956.20
$7,629.05
$4,337.00
$1,084.25
$18,006.50
$34,861.86
Connecticut
$4,955.81
$9,249.15
$4,337.00
$997.51
$19,539.47
$29,337.63
Delaware
$4,858.85
$9,877.08
$4,337.00
$195.17
$19,268.10
$27,986.48
District of Columbia
$4,682.35
$12,871.12
$4,337.00
$3,035.90
$24,926.37
$23,948.96
Florida
$4,580.24
$6,124.24
$4,337.00
$0.00
$15,041.48
$30,511.77
Georgia
$5,231.52
$5,830.17
$4,337.00
$0.00
$15,398.69
$27,160.35
Hawaii
$4,511.54
$7,246.82
$4,337.00
$867.40
$16,962.76
$23,184.62
Idaho
$4,925.05
$7,827.38
$4,337.00
$0.00
$17,089.43
$28,475.03
Illinois
$4,742.50
$8,731.45
$4,337.00
$867.40
$18,678.35
$31,182.02
Indiana
$6,120.02
$9,389.60
$4,337.00
$433.70
$20,280.32
$29,614.50
Iowa
$5,333.69
$8,489.98
$4,337.00
$650.55
$18,811.22
$26,867.68
Kansas
$4,966.22
$10,096.23
$4,337.00
$737.29
$20,136.74
$26,180.41
Kentucky
$4,332.98
$9,341.50
$4,337.00
$0.00
$18,011.48
$27,683.73
Louisiana
$4,030.36
$7,657.44
$4,337.00
$216.85
$16,241.65
$26,265.10
Maine
$5,079.90
$10,771.50
$4,337.00
$520.44
$20,708.84
$31,423.52
Maryland
$4,967.85
$9,554.73
$4,337.00
$1,214.36
$20,073.94
$33,745.20
Massachusetts
$4,597.59
$11,879.30
$4,337.00
$1,301.10
$22,114.99
$32,007.18
Michigan
$4,859.19
$7,558.35
$4,337.00
$1,301.10
$18,055.64
$31,174.30
Minnesota
$4,577.86
$12,366.61
$4,337.00
$1,084.25
$22,365.72
$28,528.37
Mississippi
$5,327.40
$8,043.59
$4,337.00
$0.00
$17,707.99
$25,967.45
Missouri
$3,865.89
$9,888.68
$4,337.00
$433.70
$18,525.27
$28,290.66
Montana
$3,882.56
$8,432.28
$4,337.00
$130.11
$16,781.95
$28,123.05
Nebraska
$5,105.67
$10,653.85
$4,337.00
$433.70
$20,530.22
$26,528.21
Nevada
$9,545.09
$6,141.03
$4,337.00
$0.00
$20,023.12
$29,191.14
New Hampshire
$4,732.84
$10,383.05
$4,337.00
$0.00
$19,452.89
$32,168.82
New Jersey
$4,680.95
$10,200.78
$4,337.00
$1,734.80
$20,953.53
$30,349.81
New Mexico
$4,584.00
$8,331.67
$4,337.00
$1,084.25
$18,336.92
$30,103.00
New York
$5,022.99
$10,884.16
$4,337.00
$1,301.10
$21,545.25
$31,659.35
North Carolina
$4,405.52
$8,880.73
$4,337.00
$0.00
$17,623.25
$27,714.54
North Dakota
$4,448.12
$12,535.35
$4,337.00
$0.00
$21,320.47
$31,492.24
Ohio
$4,203.16
$9,508.21
$4,337.00
$1,301.10
$19,349.47
$30,226.40
Oklahoma
$4,298.39
$6,985.62
$4,337.00
$216.85
$15,837.86
$27,227.15
Oregon
$4,746.91
$10,968.75
$4,337.00
$390.33
$20,442.99
$29,435.73
Pennsylvania
$4,939.81
$12,101.94
$4,337.00
$0.00
$21,378.75
$28,777.41
Rhode Island
$4,345.42
$9,263.54
$4,337.00
$650.55
$18,596.51
$31,644.69
South Carolina
$4,812.72
$6,150.43
$4,337.00
$1,807.23
$17,107.38
$35,003.02
South Dakota
$4,644.73
$8,823.99
$4,337.00
$0.00
$17,805.72
$31,412.65
Tennessee
$5,231.52
$6,933.45
$4,337.00
$0.00
$16,501.97
$29,316.66
Texas
$4,057.82
$8,379.29
$4,337.00
$0.00
$16,774.11
$28,728.01
Utah
$4,452.44
$9,062.77
$4,337.00
$0.00
$17,852.21
$30,278.82
Vermont
$4,701.95
$8,312.50
$4,337.00
$1,561.32
$18,912.77
$36,170.30
Virginia
$4,586.10
$10,163.97
$4,337.00
$867.40
$19,954.47
$29,547.44
Washington
$5,729.27
$11,271.91
$4,337.00
$0.00
$21,338.18
$36,409.22
West Virginia
$9,771.86
$8,246.74
$4,337.00
$0.00
$22,355.60
$26,294.14
Wisconsin
$4,244.50
$8,179.34
$4,337.00
$477.07
$17,237.91
$28,176.81
Wyoming
$4,602.37
$8,995.54
$4,337.00
$0.00
$17,934.91
$29,965.38
Table 15: Does Welfare Pay More Than Starting Salary? (Macartney and Ghertner Bundle)
Notes: EITC is based on the maximum amount of earned income allowed for a family of 3 in order to remain eligible for TANF by month 25. Virginia earned income is based upon the TANF eligibility through the VIEW program. VIEW recipients are subject to a 24-month limit on TANF benefits followed by a 24-month period of ineligibility. If a recipient participates in VIEW after his or her period of ineligibility is over, he or she may earn $1,830 and remain eligible. The amount shown in the table applies to recipients who received an extension or exemption to the time limit.
Sources: U.S. Department of Health and Human Services, U.S. Department of Agriculture, Center for Medicare and Medicaid Services, U.S. Department of Housing and Urban Development, Welfare Rules Database, Tax Foundation, and Author’s calculations.
Policy Solutions
General Principles for Ending Welfare Dependence
While welfare provides short-term relief to recipients, the generosity of these benefits punishes work by incentivizing recipients to remain on welfare for as long as possible. Given the myriad of programs, this section offers broader principles for ending dependence on the welfare state, adapted from various research on removing barriers to work and welfare reform.96
Welfare Reform
The best welfare reform is to get all levels of government out of the way. The federal government lacks the ability to know the best possible allocation of resources to help the poor. That is evident by the billions of dollars in improper payments (both by mistake and through fraud) made through the welfare system each year.97 With the wide array of programs, receiving benefits becomes contingent on knowing how the interconnected system of welfare benefits works, not need.98
If government welfare programs must exist, it would be ideal to consolidate all programs into a single cash-transfer program, eliminating the in-kind benefit programs, and allowing recipients to budget for themselves. If Americans are to receive welfare, require they work or prepare for work as a condition for receiving aid, as well as removing penalties against marriage within the welfare system (i.e. higher payouts to singles than households for various programs). Ultimately, the best way to fight poverty is by allowing the private sector (through both access to employment and private charity) to tackle the issue.
Remove Barriers to Employment Entry
The Federal Register and state regulatory codes intervene in almost every aspect of American life. Policymakers must repeal regulations that create barriers to entry for someone seeking employment (i.e. occupational licensing requirements) as well as regulations that limit the number participants in a market. Regulations often add difficulty to finding work, starting a business, and even hiring additional staff. Minimum wage laws also negatively impact employment and create barriers to entry for low-skilled workers. Research shows that minimum wages reduce employment, income mobility, and increase prices for all consumers.99 These regulations create “benefit cliffs” or “welfare traps” where individuals choosing to leave welfare lose more value in benefits than they gain from increased income, creating an incentive not to work. These traps inadvertently block Americans from the single greatest solution to poverty: employment.100 By increasing the difficulty for potential workers to find a job and for employers to hire, more workers have an incentive to sign up for or remain on welfare.101
Sound Tax Reform Allows Americans to Keep What They Earn
Another contributor to benefit cliffs are income taxes, especially progressive income taxes. Progressive income taxes reduce the payoff to work and investment on the margin by imposing higher tax rates on higher levels of marginal income.102 Even in cases where tax credits, such as the Earned Income Tax Credit (EITC), can help offset some benefits cliffs, these tax credits punish taxpayers in other ways, such as punishing marriage. Under the current EITC parameters, a married couple with two children would exhaust benefits at $62,688, while a single parent would do so at just under $7,000 less.103 Tanner (2022) notes, “Thus, the single parent can continue to receive benefits at higher income levels relative to the poverty level than married couples can—and the credit is more generous since the benefits are being distributed among the three people, rather than four.”104 In addition, the complexity of the EITC has led to a high error rate (both fraud and improper calculation).105
Policymakers must also replace graduated income taxes with a flat income tax and a simplified tax code so taxpayers can keep more of what they earn up front instead of requiring taxpayers to request it back through credits and deductions. When combined with spending reductions, the best income tax rate is a zero percent income tax, allowing workers to keep the income they earn.
Preserving The Dollar’s Purchasing Power
Ideally, the supply and demand for money would respond directly to market actors without government intervention, but that is not the world we live in. Given that the Federal Reserve exists and has a monopoly on providing legal tender in the United States, it must be constrained by rules.
Real median earnings have only just recovered to 2020 levels thanks to above-average inflation from 2020-2024.106 Monetary policy was a major contributor to that above-average inflation since 2020.107 As purchasing power decreases from inflation, a single dollar’s ability to purchase goods and services diminishes and household financial stress increases. The stronger the purchasing power of the dollar, the less incentive someone has to seek financial assistance from the government (all else remaining equal). Research shows that a rules-based monetary policy better protects purchasing power than the current policy of “constrained discretion” where monetary policy can be adversely affected by political pressures.108
Universal Savings Accounts: An Alternative to the Entitlement Status Quo
An alternative to adjusting entitlement policies is to replace all entitlements with a “universal savings account (USA).” Economist Adam Michel describes a USA as an account, “that would function similarly to retirement accounts—income saved in the account would only be taxed once—but without restrictions on who can contribute, on what the funds can be used for, or when they can be spent.”109 Michel and others have noted that current tax and fiscal policy punishes savings through income and payroll taxes and then again through corporate income taxes, taxes on investment income, or taxes transfers (i.e. taxes on gifts and inheritance).110, 111 McBride, et al (2024) also notes that USAs are in place in Canada and the United Kingdom, where “tax-advantaged savings vehicles with unrestricted use of funds” allow citizens to secure their financial stability.112
Economist Veronique de Rugy made a similar case for Personal Unemployment Insurance Accounts (PISAs).113 de Rugy explains that these accounts are similar to 401(k)s. The accounts are financed through payroll tax contributions from both the employer and employee and are individually owned by workers. When the worker is unemployed, he or she can make withdrawals to compensate for the loss to their incomes. When the worker does go back to work, he or she can build their PISA balance back up. Upon retirement, retirees can also use PISAs to bolster their retirement income or transfer funds to others named in their will should the PISA owner pass away.114
PISAs were initially pioneered by Chile in 2002 and are currently in place in several Latin American countries as well as in Austria and Jordan.115 In addition to the PISAs Chile also includes a public safety net, known as the solidarity fund, financed by employers and the government, similar to UI trust funds.116 de Rugy notes that the solidarity fund creates the same incentives not to work as a traditional UI, such as postponing a search for a new job until benefit payments are expected to stop.117
While individual retirement accounts (IRA) and health savings accounts (HSA) reduced the cost of savings, taxpayers are punished if money is withdrawn before the government designated retirement age from an IRA or if HSA funds are not used for a government-approved health expense. Replacing the myriads of entitlements with a USA would allow the average person to tailor their savings and investments to their specific financial needs.
Conclusion
Each program included in this paper requires its own in-depth analysis to understand program intricacies, flaws, and options for reform, which go beyond the scope of this paper. While some programs, such as Medicaid, TANF, and SNAP, have generated large amounts of research on their respective flaws and possible reforms, there is scant literature elsewhere. This paper hopes to highlight the need for welfare reform, which will spur additional in-depth analyses of all welfare programs and inspire substantial reforms. Excessively generous welfare programs are likely to reduce work efforts, especially when welfare benefits compare favorably to the post-tax median wage. The way forward is a combined effort of welfare, tax, and regulatory reform to help Americans escape welfare traps and find gainful employment, which is the true path out of poverty.
Appendix: Tax Liability Calculations
All rates are sourced from the Tax Foundation.118, 119
Federal Tax Liabilities
Jurisdiction
Medianannual wage
Standard Deduction
Taxable Income
Social Security Payroll Tax Rate
Medicare Payroll Tax Rate
Income Tax Bill
Payroll Taxes
EITC
CTC
Income Tax Bill Minus Credits
Alabama
$50,620.00
$14,600.00
$36,020.00
6.20%
1.45%
$5,482.40
$2,755.53
$483.00
$4,000.00
$999.40
Alaska
$66,130.00
$14,600.00
$51,530.00
6.20%
1.45%
$18,154.60
$3,942.05
$0.00
$4,000.00
$14,154.60
Arizona
$58,620.00
$14,600.00
$44,020.00
6.20%
1.45%
$6,442.40
$3,367.53
$0.00
$4,000.00
$2,442.40
Arkansas
$48,570.00
$14,600.00
$33,970.00
6.20%
1.45%
$5,236.40
$2,598.71
$915.00
$4,000.00
$321.40
California
$73,220.00
$14,600.00
$58,620.00
6.20%
1.45%
$19,714.40
$4,484.43
$0.00
$4,000.00
$15,714.40
Colorado
$67,870.00
$14,600.00
$53,270.00
6.20%
1.45%
$18,537.40
$4,075.16
$0.00
$4,000.00
$14,537.40
Connecticut
$69,310.00
$14,600.00
$54,710.00
6.20%
1.45%
$18,854.20
$4,185.32
$0.00
$4,000.00
$14,854.20
Delaware
$62,260.00
$14,600.00
$47,660.00
6.20%
1.45%
$17,303.20
$3,645.99
$0.00
$4,000.00
$13,303.20
District of Columbia
$102,060.00
$14,600.00
$87,460.00
6.20%
1.45%
$26,059.20
$6,690.69
$0.00
$4,000.00
$22,059.20
Florida
$55,980.00
$14,600.00
$41,380.00
6.20%
1.45%
$6,125.60
$3,165.57
$0.00
$4,000.00
$2,125.60
Georgia
$58,000.00
$14,600.00
$43,400.00
6.20%
1.45%
$6,368.00
$3,320.10
$0.00
$4,000.00
$2,368.00
Hawaii
$61,420.00
$14,600.00
$46,820.00
6.20%
1.45%
$6,778.40
$3,581.73
$0.00
$4,000.00
$2,778.40
Idaho
$51,350.00
$14,600.00
$36,750.00
6.20%
1.45%
$5,570.00
$2,811.38
$325.00
$4,000.00
$1,245.00
Illinois
$63,930.00
$14,600.00
$49,330.00
6.20%
1.45%
$17,670.60
$3,773.75
$0.00
$4,000.00
$13,670.60
Indiana
$53,500.00
$14,600.00
$38,900.00
6.20%
1.45%
$5,828.00
$2,975.85
$0.00
$4,000.00
$1,828.00
Iowa
$53,520.00
$14,600.00
$38,920.00
6.20%
1.45%
$5,830.40
$2,977.38
$0.00
$4,000.00
$1,830.40
Kansas
$52,850.00
$14,600.00
$38,250.00
6.20%
1.45%
$5,750.00
$2,926.13
$10.00
$4,000.00
$1,740.00
Kentucky
$51,490.00
$14,600.00
$36,890.00
6.20%
1.45%
$5,586.80
$2,822.09
$304.00
$4,000.00
$1,282.80
Louisiana
$50,940.00
$14,600.00
$36,340.00
6.20%
1.45%
$5,520.80
$2,780.01
$420.00
$4,000.00
$1,100.80
Maine
$55,960.00
$14,600.00
$41,360.00
6.20%
1.45%
$6,123.20
$3,164.04
$0.00
$4,000.00
$2,123.20
Maryland
$69,750.00
$14,600.00
$55,150.00
6.20%
1.45%
$18,951.00
$4,218.98
$0.00
$4,000.00
$14,951.00
Massachusetts
$76,600.00
$14,600.00
$62,000.00
6.20%
1.45%
$20,458.00
$4,743.00
$0.00
$4,000.00
$16,458.00
Michigan
$58,000.00
$14,600.00
$43,400.00
6.20%
1.45%
$6,368.00
$3,320.10
$0.00
$4,000.00
$2,368.00
Minnesota
$63,640.00
$14,600.00
$49,040.00
6.20%
1.45%
$17,606.80
$3,751.56
$0.00
$4,000.00
$13,606.80
Mississippi
$45,180.00
$14,600.00
$30,580.00
6.20%
1.45%
$4,829.60
$2,339.37
$1,631.00
$4,000.00
-$801.40
Missouri
$54,520.00
$14,600.00
$39,920.00
6.20%
1.45%
$5,950.40
$3,053.88
$0.00
$4,000.00
$1,950.40
Montana
$52,220.00
$14,600.00
$37,620.00
6.20%
1.45%
$5,674.40
$2,877.93
$146.00
$4,000.00
$1,528.40
Nebraska
$55,070.00
$14,600.00
$40,470.00
6.20%
1.45%
$6,016.40
$3,095.96
$0.00
$4,000.00
$2,016.40
Nevada
$55,490.00
$14,600.00
$40,890.00
6.20%
1.45%
$6,066.80
$3,128.09
$0.00
$4,000.00
$2,066.80
New Hampshire
$62,550.00
$14,600.00
$47,950.00
6.20%
1.45%
$17,367.00
$3,668.18
$0.00
$4,000.00
$13,367.00
New Jersey
$70,890.00
$14,600.00
$56,290.00
6.20%
1.45%
$19,201.80
$4,306.19
$0.00
$4,000.00
$15,201.80
New Mexico
$54,400.00
$14,600.00
$39,800.00
6.20%
1.45%
$5,936.00
$3,044.70
$0.00
$4,000.00
$1,936.00
New York
$74,870.00
$14,600.00
$60,270.00
6.20%
1.45%
$20,077.40
$4,610.66
$0.00
$4,000.00
$16,077.40
North Carolina
$56,220.00
$14,600.00
$41,620.00
6.20%
1.45%
$6,154.40
$3,183.93
$0.00
$4,000.00
$2,154.40
North Dakota
$55,800.00
$14,600.00
$41,200.00
6.20%
1.45%
$6,104.00
$3,151.80
$0.00
$4,000.00
$2,104.00
Ohio
$56,530.00
$14,600.00
$41,930.00
6.20%
1.45%
$6,191.60
$3,207.65
$0.00
$4,000.00
$2,191.60
Oklahoma
$50,940.00
$14,600.00
$36,340.00
6.20%
1.45%
$5,520.80
$2,780.01
$420.00
$4,000.00
$1,100.80
Oregon
$62,680.00
$14,600.00
$48,080.00
6.20%
1.45%
$17,395.60
$3,678.12
$0.00
$4,000.00
$13,395.60
Pennsylvania
$58,470.00
$14,600.00
$43,870.00
6.20%
1.45%
$6,424.40
$3,356.06
$0.00
$4,000.00
$2,424.40
Rhode Island
$64,530.00
$14,600.00
$49,930.00
6.20%
1.45%
$17,802.60
$3,819.65
$0.00
$4,000.00
$13,802.60
South Carolina
$50,650.00
$14,600.00
$36,050.00
6.20%
1.45%
$5,486.00
$2,757.83
$420.00
$4,000.00
$1,066.00
South Dakota
$49,890.00
$14,600.00
$35,290.00
6.20%
1.45%
$5,394.80
$2,699.69
$641.00
$4,000.00
$753.80
Tennessee
$52,820.00
$14,600.00
$38,220.00
6.20%
1.45%
$5,746.40
$2,923.83
$20.00
$4,000.00
$1,726.40
Texas
$57,300.00
$14,600.00
$42,700.00
6.20%
1.45%
$6,284.00
$3,266.55
$0.00
$4,000.00
$2,284.00
Utah
$57,360.00
$14,600.00
$42,760.00
6.20%
1.45%
$6,291.20
$3,271.14
$0.00
$4,000.00
$2,291.20
Vermont
$59,190.00
$14,600.00
$44,590.00
6.20%
1.45%
$6,510.80
$3,411.14
$0.00
$4,000.00
$2,510.80
Virginia
$65,590.00
$14,600.00
$50,990.00
6.20%
1.45%
$18,035.80
$3,900.74
$0.00
$4,000.00
$14,035.80
Washington
$72,350.00
$14,600.00
$57,750.00
6.20%
1.45%
$19,523.00
$4,417.88
$0.00
$4,000.00
$15,523.00
West Virginia
$49,170.00
$14,600.00
$34,570.00
6.20%
1.45%
$5,308.40
$2,644.61
$789.00
$4,000.00
$519.40
Wisconsin
$56,120.00
$14,600.00
$41,520.00
6.20%
1.45%
$6,142.40
$3,176.28
$0.00
$4,000.00
$2,142.40
Wyoming
$54,440.00
$14,600.00
$39,840.00
6.20%
1.45%
$5,940.80
$3,047.76
$0.00
$4,000.00
$1,940.80
Jurisdiction
Annual 10th percentile wage
Standard Deduction
Taxable Income
Social Security Payroll Tax Rate
Medicare Payroll Tax Rate
Income Tax Bill
Payroll Taxes
EITC
CTC
Income Tax Bill Minus Credits
Alabama
$21,580.00
$14,600.00
$6,980.00
6.20%
1.45%
$1,997.60
$533.97
$6,601.00
$4,000.00
-$8,603.40
Alaska
$29,540.00
$14,600.00
$14,940.00
6.20%
1.45%
$2,952.80
$1,142.91
$4,927.00
$4,000.00
-$5,974.20
Arizona
$29,220.00
$14,600.00
$14,620.00
6.20%
1.45%
$2,914.40
$1,118.43
$4,990.00
$4,000.00
-$6,075.60
Arkansas
$24,520.00
$14,600.00
$9,920.00
6.20%
1.45%
$2,350.40
$758.88
$5,980.00
$4,000.00
-$7,629.60
California
$31,520.00
$14,600.00
$16,920.00
6.20%
1.45%
$3,190.40
$1,294.38
$4,506.00
$4,000.00
-$5,315.60
Colorado
$30,520.00
$14,600.00
$15,920.00
6.20%
1.45%
$3,070.40
$1,217.88
$4,716.00
$4,000.00
-$5,645.60
Connecticut
$29,550.00
$14,600.00
$14,950.00
6.20%
1.45%
$2,954.00
$1,143.68
$4,917.00
$4,000.00
-$5,963.00
Delaware
$26,630.00
$14,600.00
$12,030.00
6.20%
1.45%
$2,603.60
$920.30
$5,538.00
$4,000.00
-$6,934.40
District of Columbia
$35,790.00
$14,600.00
$21,190.00
6.20%
1.45%
$3,702.80
$1,621.04
$3,611.00
$4,000.00
-$3,908.20
Florida
$25,070.00
$14,600.00
$10,470.00
6.20%
1.45%
$2,416.40
$800.96
$5,864.00
$4,000.00
-$7,447.60
Georgia
$22,830.00
$14,600.00
$8,230.00
6.20%
1.45%
$2,147.60
$629.60
$6,338.00
$4,000.00
-$8,190.40
Hawaii
$27,850.00
$14,600.00
$13,250.00
6.20%
1.45%
$2,750.00
$1,013.63
$5,275.00
$4,000.00
-$6,525.00
Idaho
$23,530.00
$14,600.00
$8,930.00
6.20%
1.45%
$2,231.60
$683.15
$6,191.00
$4,000.00
-$7,959.40
Illinois
$28,370.00
$14,600.00
$13,770.00
6.20%
1.45%
$2,812.40
$1,053.41
$5,169.00
$4,000.00
-$6,356.60
Indiana
$24,810.00
$14,600.00
$10,210.00
6.20%
1.45%
$2,385.20
$781.07
$5,917.00
$4,000.00
-$7,531.80
Iowa
$24,970.00
$14,600.00
$10,370.00
6.20%
1.45%
$2,404.40
$793.31
$5,885.00
$4,000.00
-$7,480.60
Kansas
$23,360.00
$14,600.00
$8,760.00
6.20%
1.45%
$2,211.20
$670.14
$6,222.00
$4,000.00
-$8,010.80
Kentucky
$22,980.00
$14,600.00
$8,380.00
6.20%
1.45%
$2,165.60
$641.07
$6,307.00
$4,000.00
-$8,141.40
Louisiana
$20,680.00
$14,600.00
$6,080.00
6.20%
1.45%
$1,889.60
$465.12
$6,604.00
$4,000.00
-$8,714.40
Maine
$29,600.00
$14,600.00
$15,000.00
6.20%
1.45%
$2,960.00
$1,147.50
$4,906.00
$4,000.00
-$5,946.00
Maryland
$28,950.00
$14,600.00
$14,350.00
6.20%
1.45%
$2,882.00
$1,097.78
$5,043.00
$4,000.00
-$6,161.00
Massachusetts
$33,140.00
$14,600.00
$18,540.00
6.20%
1.45%
$3,384.80
$1,418.31
$4,169.00
$4,000.00
-$4,784.20
Michigan
$27,050.00
$14,600.00
$12,450.00
6.20%
1.45%
$2,654.00
$952.43
$5,443.00
$4,000.00
-$6,789.00
Minnesota
$29,020.00
$14,600.00
$14,420.00
6.20%
1.45%
$2,890.40
$1,103.13
$5,032.00
$4,000.00
-$6,141.60
Mississippi
$20,460.00
$14,600.00
$5,860.00
6.20%
1.45%
$1,863.20
$448.29
$6,604.00
$4,000.00
-$8,740.80
Missouri
$25,750.00
$14,600.00
$11,150.00
6.20%
1.45%
$2,498.00
$852.98
$5,717.00
$4,000.00
-$7,219.00
Montana
$24,540.00
$14,600.00
$9,940.00
6.20%
1.45%
$2,352.80
$760.41
$5,980.00
$4,000.00
-$7,627.20
Nebraska
$25,770.00
$14,600.00
$11,170.00
6.20%
1.45%
$2,500.40
$854.51
$5,717.00
$4,000.00
-$7,216.60
Nevada
$23,090.00
$14,600.00
$8,490.00
6.20%
1.45%
$2,178.80
$649.49
$6,285.00
$4,000.00
-$8,106.20
New Hampshire
$28,360.00
$14,600.00
$13,760.00
6.20%
1.45%
$2,811.20
$1,052.64
$5,169.00
$4,000.00
-$6,357.80
New Jersey
$29,090.00
$14,600.00
$14,490.00
6.20%
1.45%
$2,898.80
$1,108.49
$5,022.00
$4,000.00
-$6,123.20
New Mexico
$24,330.00
$14,600.00
$9,730.00
6.20%
1.45%
$2,327.60
$744.35
$6,022.00
$4,000.00
-$7,694.40
New York
$31,200.00
$14,600.00
$16,600.00
6.20%
1.45%
$3,152.00
$1,269.90
$4,569.00
$4,000.00
-$5,417.00
North Carolina
$22,960.00
$14,600.00
$8,360.00
6.20%
1.45%
$2,163.20
$639.54
$6,307.00
$4,000.00
-$8,143.80
North Dakota
$28,250.00
$14,600.00
$13,650.00
6.20%
1.45%
$2,798.00
$1,044.23
$5,190.00
$4,000.00
-$6,392.00
Ohio
$24,650.00
$14,600.00
$10,050.00
6.20%
1.45%
$2,366.00
$768.83
$5,498.00
$4,000.00
-$7,132.00
Oklahoma
$21,930.00
$14,600.00
$7,330.00
6.20%
1.45%
$2,039.60
$560.75
$6,528.00
$4,000.00
-$8,488.40
Oregon
$30,340.00
$14,600.00
$15,740.00
6.20%
1.45%
$3,048.80
$1,204.11
$4,759.00
$4,000.00
-$5,710.20
Pennsylvania
$25,140.00
$14,600.00
$10,540.00
6.20%
1.45%
$2,424.80
$806.31
$5,854.00
$4,000.00
-$7,429.20
Rhode Island
$28,330.00
$14,600.00
$13,730.00
6.20%
1.45%
$2,807.60
$1,050.35
$5,180.00
$4,000.00
-$6,372.40
South Carolina
$22,320.00
$14,600.00
$7,720.00
6.20%
1.45%
$2,086.40
$590.58
$6,443.00
$4,000.00
-$8,356.60
South Dakota
$26,310.00
$14,600.00
$11,710.00
6.20%
1.45%
$2,565.20
$895.82
$5,601.00
$4,000.00
-$7,035.80
Tennessee
$23,180.00
$14,600.00
$8,580.00
6.20%
1.45%
$2,189.60
$656.37
$6,264.00
$4,000.00
-$8,074.40
Texas
$22,710.00
$14,600.00
$8,110.00
6.20%
1.45%
$2,133.20
$620.42
$6,359.00
$4,000.00
-$8,225.80
Utah
$26,200.00
$14,600.00
$11,600.00
6.20%
1.45%
$2,552.00
$887.40
$5,622.00
$4,000.00
-$7,070.00
Vermont
$29,540.00
$14,600.00
$14,940.00
6.20%
1.45%
$2,952.80
$1,142.91
$4,927.00
$4,000.00
-$5,974.20
Virginia
$26,280.00
$14,600.00
$11,680.00
6.20%
1.45%
$2,561.60
$893.52
$5,612.00
$4,000.00
-$7,050.40
Washington
$34,310.00
$14,600.00
$19,710.00
6.20%
1.45%
$3,525.20
$1,507.82
$3,916.00
$4,000.00
-$4,390.80
West Virginia
$21,940.00
$14,600.00
$7,340.00
6.20%
1.45%
$2,040.80
$561.51
$6,528.00
$4,000.00
-$8,487.20
Wisconsin
$26,240.00
$14,600.00
$11,640.00
6.20%
1.45%
$2,556.80
$890.46
$5,622.00
$4,000.00
-$7,065.20
Wyoming
$24,780.00
$14,600.00
$10,180.00
6.20%
1.45%
$2,381.60
$778.77
$5,927.00
$4,000.00
-$7,545.40
State Income Tax Liabilities
Jurisdiction
Pretax Wage Equivalent (10th Percentile)
Standard Deduction
Taxable Income
State Income Tax Bill
EITC
CTC
State Tax Bill Minus Credits
Alabama
$38,470.00
$3,000.00
$35,470.00
1,903.50
0.00
0.00
$1,903.50
Alaska
$52,000.00
$0.00
$52,000.00
0.00
0.00
0.00
$0.00
Arizona
$45,290.00
$14,600.00
$30,690.00
767.25
0.00
200.00
$567.25
Arkansas
$37,270.00
$2,340.00
$34,930.00
1,976.92
0.00
0.00
$1,976.92
California
$49,740.00
$5,363.00
$44,377.00
4,818.78
0.00
0.00
$4,818.78
Colorado
$50,250.00
$14,600.00
$35,650.00
1,568.60
1,792.08
1,200.00
-$1,423.48
Connecticut
$51,780.00
$0.00
$51,780.00
5,297.90
1,966.80
0.00
$3,331.10
Delaware
$47,150.00
$3,250.00
$43,900.00
4,195.45
1,107.60
0.00
$3,087.85
District of Columbia
$82,930.00
$14,600.00
$68,330.00
12,508.05
1,986.05
0.00
$10,522.00
Florida
$40,820.00
$12,000.00
$28,820.00
0.00
0.00
0.00
$0.00
Georgia
$42,890.00
$12,000.00
$30,890.00
1,695.86
0.00
0.00
$1,695.86
Hawaii
$48,560.00
$2,200.00
$46,360.00
11,068.84
2,476.40
0.00
$8,592.44
Idaho
$40,060.00
$14,600.00
$25,460.00
1,476.68
0.00
410.00
$1,066.68
Illinois
$47,480.00
$0.00
$47,480.00
2,350.26
1,321.00
0.00
$1,029.26
Indiana
$42,100.00
$0.00
$42,100.00
1,284.05
660.50
0.00
$623.55
Iowa
$44,350.00
$0.00
$44,350.00
4,297.80
990.75
0.00
$3,307.05
Kansas
$41,870.00
$3,500.00
$38,370.00
4,227.09
1,122.85
0.00
$3,104.24
Kentucky
$40,180.00
$3,160.00
$37,020.00
1,480.80
0.00
0.00
$1,480.80
Louisiana
$38,970.00
$0.00
$38,970.00
1,595.20
330.20
0.00
$1,265.00
Maine
$45,420.00
$14,600.00
$30,820.00
3,591.25
1,226.50
600.00
$1,764.75
Maryland
$51,420.00
$2,550.00
$48,870.00
2,521.33
2,972.25
1,000.00
-$1,450.93
Massachusetts
$58,450.00
$0.00
$58,450.00
2,922.50
0.00
360.00
$2,562.50
Michigan
$45,500.00
$0.00
$45,500.00
1,933.75
1,632.90
0.00
$300.85
Minnesota
$48,760.00
$14,575.00
$34,185.00
4,020.00
0.00
0.00
$4,020.00
Mississippi
$36,100.00
$2,300.00
$33,800.00
1,588.60
0.00
0.00
$1,588.60
Missouri
$42,310.00
$14,600.00
$27,710.00
2,558.53
0.00
0.00
$2,558.53
Montana
$42,210.00
$14,600.00
$27,610.00
2,592.49
660.50
0.00
$1,931.99
Nebraska
$44,100.00
$7,900.00
$36,200.00
4,773.34
571.70
0.00
$4,201.64
Nevada
$40,810.00
$0.00
$40,810.00
0.00
0.00
0.00
$0.00
New Hampshire
$47,920.00
$0.00
$47,920.00
0.00
0.00
0.00
$0.00
New Jersey
$51,080.00
$0.00
$51,080.00
5,114.67
2,642.00
400.00
$2,072.67
New Mexico
$39,900.00
$14,600.00
$25,300.00
2,437.20
1,651.25
800.00
-$14.05
New York
$52,470.00
$8,000.00
$44,470.00
4,042.10
1,981.50
0.00
$2,060.60
North Carolina
$41,810.00
$12,750.00
$29,060.00
1,307.70
0.00
0.00
$1,307.70
North Dakota
$47,410.00
$14,600.00
$32,810.00
639.80
0.00
0.00
$639.80
Ohio
$44,750.00
$0.00
$44,750.00
1,230.63
1,981.50
0.00
-$750.88
Oklahoma
$39,100.00
$6,350.00
$32,750.00
2,047.25
330.25
400.00
$1,317.00
Oregon
$47,770.00
$2,745.00
$45,025.00
4,869.56
792.60
0.00
$4,076.96
Pennsylvania
$45,790.00
$0.00
$45,790.00
1,405.75
0.00
0.00
$1,405.75
Rhode Island
$49,360.00
$10,550.00
$38,810.00
1,455.38
1,056.80
0.00
$398.58
South Carolina
$38,870.00
$14,600.00
$24,270.00
2,073.18
8,256.25
0.00
-$6,183.07
South Dakota
$39,870.00
$0.00
$39,870.00
0.00
0.00
0.00
$0.00
Tennessee
$39,930.00
$0.00
$39,930.00
0.00
0.00
0.00
$0.00
Texas
$43,460.00
$0.00
$43,460.00
0.00
0.00
0.00
$0.00
Utah
$44,470.00
$876.00
$43,594.00
2,027.12
1,321.00
0.00
$706.12
Vermont
$47,320.00
$7,000.00
$40,320.00
1,350.72
2,509.90
2,000.00
-$3,159.18
Virginia
$48,290.00
$8,000.00
$40,290.00
2,526.68
1,321.00
0.00
$1,205.68
Washington
$56,320.00
$0.00
$56,320.00
0.00
900.00
0.00
-$900.00
West Virginia
$37,770.00
$0.00
$37,770.00
2,360.56
0.00
0.00
$2,360.56
Wisconsin
$45,650.00
$13,230.00
$32,420.00
3,479.62
726.55
0.00
$2,753.07
Wyoming
$45,450.00
$0.00
$45,450.00
0.00
0.00
0.00
$0.00
Jurisdiction
Mean annual wage
Standard Deduction
Taxable Income
State Income Tax Bill
EITC
CTC
State Tax Bill Minus Credits
Alabama
$50,620.00
$3,000.00
$47,620.00
2,511.00
0.00
0.00
$2,511.00
Alaska
$66,130.00
$0.00
$66,130.00
0.00
0.00
0.00
$0.00
Arizona
$58,620.00
$14,600.00
$44,020.00
1,100.50
0.00
200.00
$900.50
Arkansas
$48,570.00
$2,340.00
$46,230.00
2,474.12
0.00
0.00
$2,474.12
California
$73,220.00
$5,363.00
$67,857.00
9,922.26
0.00
0.00
$9,922.26
Colorado
$67,870.00
$14,600.00
$53,270.00
2,343.88
1,792.08
1,200.00
-$648.20
Connecticut
$69,310.00
$0.00
$69,310.00
6,262.05
1,966.80
0.00
$4,295.25
Delaware
$62,260.00
$3,250.00
$59,010.00
5,034.06
1,107.60
0.00
$3,926.46
District of Columbia
$102,060.00
$14,600.00
$87,460.00
14,134.10
1,986.05
0.00
$12,148.05
Florida
$55,980.00
$12,000.00
$43,980.00
0.00
0.00
0.00
$0.00
Georgia
$58,000.00
$12,000.00
$46,000.00
2,525.40
0.00
0.00
$2,525.40
Hawaii
$61,420.00
$2,200.00
$59,220.00
12,084.78
2,476.40
0.00
$9,608.38
Idaho
$51,350.00
$14,600.00
$36,750.00
2,131.50
0.00
410.00
$1,721.50
Illinois
$63,930.00
$0.00
$63,930.00
3,164.54
1,321.00
0.00
$1,843.54
Indiana
$53,500.00
$0.00
$53,500.00
1,631.75
660.50
0.00
$971.25
Iowa
$53,520.00
$0.00
$53,520.00
4,820.49
990.75
0.00
$3,829.74
Kansas
$52,850.00
$3,500.00
$49,350.00
4,852.95
1,122.85
0.00
$3,730.10
Kentucky
$51,490.00
$3,160.00
$48,330.00
1,933.20
0.00
0.00
$1,933.20
Louisiana
$50,940.00
$0.00
$50,940.00
2,833.70
330.20
0.00
$2,503.50
Maine
$55,960.00
$14,600.00
$41,360.00
4,302.70
1,226.50
600.00
$2,476.20
Maryland
$69,750.00
$2,550.00
$67,200.00
3,392.00
2,972.25
1,000.00
-$580.25
Massachusetts
$76,600.00
$0.00
$76,600.00
3,830.00
0.00
360.00
$3,470.00
Michigan
$58,000.00
$0.00
$58,000.00
2,465.00
1,632.90
0.00
$832.10
Minnesota
$63,640.00
$14,575.00
$49,065.00
5,031.84
0.00
0.00
$5,031.84
Mississippi
$45,180.00
$2,300.00
$42,880.00
2,015.36
0.00
0.00
$2,015.36
Missouri
$54,520.00
$14,600.00
$39,920.00
3,144.61
0.00
0.00
$3,144.61
Montana
$52,220.00
$14,600.00
$37,620.00
3,183.08
660.50
0.00
$2,522.58
Nebraska
$55,070.00
$7,900.00
$47,170.00
5,413.99
571.70
0.00
$4,842.29
Nevada
$55,490.00
$0.00
$55,490.00
0.00
0.00
0.00
$0.00
New Hampshire
$62,550.00
$0.00
$62,550.00
0.00
0.00
0.00
$0.00
New Jersey
$70,890.00
$0.00
$70,890.00
6,209.17
2,642.00
400.00
$3,167.17
New Mexico
$54,400.00
$14,600.00
$39,800.00
3,147.70
1,651.25
800.00
$696.45
New York
$74,870.00
$8,000.00
$66,870.00
5,274.10
1,981.50
0.00
$3,292.60
North Carolina
$56,220.00
$12,750.00
$43,470.00
1,956.15
0.00
0.00
$1,956.15
North Dakota
$55,800.00
$14,600.00
$41,200.00
803.40
0.00
0.00
$803.40
Ohio
$56,530.00
$0.00
$56,530.00
1,554.58
1,981.50
0.00
-$426.93
Oklahoma
$50,940.00
$6,350.00
$44,590.00
2,609.65
330.25
400.00
$1,879.40
Oregon
$62,680.00
$2,745.00
$59,935.00
6,174.19
792.60
0.00
$5,381.59
Pennsylvania
$58,470.00
$0.00
$58,470.00
1,795.03
0.00
0.00
$1,795.03
Rhode Island
$64,530.00
$10,550.00
$53,980.00
2,024.25
1,056.80
0.00
$967.45
South Carolina
$50,650.00
$14,600.00
$36,050.00
2,827.10
8,256.25
0.00
-$5,429.15
South Dakota
$49,890.00
$0.00
$49,890.00
0.00
0.00
0.00
$0.00
Tennessee
$52,820.00
$0.00
$52,820.00
0.00
0.00
0.00
$0.00
Texas
$57,300.00
$0.00
$57,300.00
0.00
0.00
0.00
$0.00
Utah
$57,360.00
$876.00
$56,484.00
2,626.51
1,321.00
0.00
$1,305.51
Vermont
$59,190.00
$7,000.00
$52,190.00
4,965.44
2,509.90
2,000.00
$455.54
Virginia
$65,590.00
$8,000.00
$57,590.00
3,521.43
1,321.00
0.00
$2,200.43
Washington
$72,350.00
$0.00
$72,350.00
0.00
900.00
0.00
-$900.00
West Virginia
$49,170.00
$0.00
$49,170.00
4,760.32
0.00
0.00
$4,760.32
Wisconsin
$56,120.00
$13,230.00
$42,890.00
4,034.53
726.55
0.00
$3,307.98
Wyoming
$54,440.00
$0.00
$54,440.00
0.00
0.00
0.00
$0.00
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References
[1] “Public Benefits.” Legal Information Institute, Cornell Law School. Accessed July 1, 2024. https://www.law.cornell.edu/wex/public_benefits.
[2] Broder, Tanya and Lessard, Gabrielle. “Guide: Overview of Immigrant Eligibility for Federal Programs.” National Immigration Law Center. 1 May 2024. Accessed November 22, 2024. https://www.nilc.org/resources/overview-immeligfedprograms/
[3] “Update: Top Challenges in Pandemic Relief and Response.” U.S. Offices of Inspector General. 3 Feb 2021. Accessed November 22, 2024. https://www.oversight.gov/sites/default/files/documents/reports/2021-02/PRAC-Update-Top-Challenges-Pandemic-Relief-and-Response.pdf
[4] Rector, Robert, and Vijay Menon. “Understanding the Hidden $1.1 Trillion Welfare System and How to Reform It.” Heritage Foundation, 2018. Accessed July 1, 2024. https://www.heritage.org/welfare/report/understanding-the-hidden-11-trillion-welfare-system-and-how-reform-it.
[5] Congressional Budget Office. “The Budget and Economic Outlook: 2020 to 2030.” Accessed July 1, 2024. https://www.cbo.gov/publication/59946#_idTextAnchor010.
[6] USAFacts. “Households.” Accessed July 1, 2024. https://usafacts.org/data/topics/people-society/population-and-demographics/population-data/households/.
[7] McCoy, Jacob. “Benefit Cliffs: When It Doesn’t Make Sense To Work.” Cardinal Institute (blog), December 7, 2023. https://cardinalinstitute.com/benefit-cliffs-when-it-doesnt-make-sense-to-work/.
[8] Tanner, Michael D. “Welfare Reform” in Empowering the New American Worker. Cato Institute, 2022. Accessed July 1, 2024.https://www.cato.org/publications/welfare-reform#issue
[9] Cowen, Tyler. “Does the Welfare State Help the Poor?” Social Philosophy and Policy Vol 19, no 1 (2002). Accessed July 1, 2024. pp. 36-54 https://www.cambridge.org/core/journals/social-philosophy-and-policy/article/abs/does-the-welfare-state-help-the-poor/FF0399B26971721486BE75A1703A3BE1
[10] Feldstein, Martin. “Welfare.” Library of Economics and Liberty. Accessed July 1, 2024. https://www.econlib.org/library/Enc/Welfare.html.
[11] Ibid.
[12] “Netting Taxes and Transfers to U.S. Households.” Manhattan Institute. Accessed July 1, 2024. https://manhattan.institute/article/netting-taxes-and-transfers-to-u-s-households#notes.
[13] Ibid.
[14] Ford, Leslie. “Safety-Net Reform: How State Policymakers Can Lead.” The Heritage Foundation. Accessed July 1, 2024. https://www.heritage.org/welfare/report/safety-net-reform-how-state-policymakers-can-lead.
[15] Brookings. “The Social Safety Net Looks Different in Every State.” Accessed July 1, 2024. https://www.brookings.edu/articles/the-social-safety-net-looks-different-in-every-state/.
[16] Tanner, Michael D., Stephen Moore, and David Hartman. “The Work Versus Welfare Trade-Off: An Analysis of the Total Level of Welfare Benefits by State.” Cato Institute, September 19, 1995. https://www.cato.org/policy-analysis/work-versus-welfare-trade-analysis-total-level-welfare-benefits-state.
[17] Tanner, Michael and Hughes, Charles. “The Work versus Welfare Trade-Off: 2013,” August 19, 2013. Cato Institute. Accessed July 1, 2024. https://www.cato.org/white-paper/work-versus-welfare-trade-2013.
[18] Tanner and Hughes 2013, supra note 15.
[19] Ibid.
[20] Macartney, Suzanne and Ghertner, Robin. “How Many People Participate in the Social Safety Net?” ASPE. Accessed July 1, 2024. January 20, 2023. https://aspe.hhs.gov/reports/people-participate-social-safety-net.
[21] “Table 6: Households Receiving TANF, SNAP, WIC, or SSI During Year.” Survey of Income and Program Participation (SIPP). US Census Bureau. Last Revised June 2023. Accessed August 13, 2024. https://www.census.gov/data/tables/2021/demo/public-assistance/sipp-receipts.html
[22] Macartney and Robin, supra note 18.
[23] ASPE. “How Many People That Receive One Safety Net Benefit Also Receive Others,” January 20, 2023. https://aspe.hhs.gov/reports/people-receive-one-safety-net-benefit.
[24] Rector and Menon, supra note 2.
[25] “Medicaid Primer (IF10322).” Congressional Research Service. Updated April 20, 2023. Accessed July 1, 2024. https://crsreports.congress.gov/product/details?prodcode=IF10322.
[26] Rudowitz, Robin, et al. “How Is Medicaid Financed? – Medicaid 101.” Kaiser Family Foundation. Accessed July 1, 2024. https://www.kff.org/health-policy-101-medicaid/?entry=table-of-contents-how-is-medicaid-financed.
[27] “Medicaid Primer” supra note 23.
[28] “Status of State Medicaid Expansion Decisions: Interactive Map.” KFF (blog), May 8, 2024. https://www.kff.org/affordable-care-act/issue-brief/status-of-state-medicaid-expansion-decisions-interactive-map/.
[29] Schmidt, Lucie, Lara Shore-Sheppard, and Tara Watson. “The Impact of Expanding Public Health Insurance on Safety Net Program Participation: Evidence from the ACA Medicaid Expansion.” Working Paper. Working Paper Series. National Bureau of Economic Research, November 2019. https://doi.org/10.3386/w26504.
[30] The remaining states that have not expanded Medicaid are Alabama, Florida, Georgia, Kansas, Mississippi, Tennessee, Texas, South Carolina, Wisconsin, and Wyoming.
[31] “Status of State Medicaid Expansion Decisions” supra note 26.
[32] Rudowitz, et al. “How Has Medicaid Evolved Over Time? – Medicaid 101.” KFF. Accessed July 1, 2024. https://www.kff.org/health-policy-101-medicaid/?entry=table-of-contents-how-has-medicaid-evolved-over-time.
[33] Blase, Brian and Gonshorowski, Drew. “Medicaid Financing Reform: Stopping Discrimination Against the Most Vulnerable and Reducing Bias Favoring Wealthy States.” Paragon Health Institute. July 2024. Accessed August 16, 2024. https://paragoninstitute.org/medicaid/medicaid-financing-reform-stopping-discrimination-against-the-most-vulnerable-and-reducing-bias-favoring-wealthy-states/
[34] “The Temporary Assistance for Needy Families (TANF) Block Grant (IF10036).” Accessed July 1, 2024. https://www.everycrsreport.com/reports/IF10036.html.
[35] Those states are Alabama, Alaska, Georgia, Hawaii, Idaho, Indiana, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nevada, New Jersey, New York, South Carolina, and Wisconsin.
[39]FY 2022 Federal TANF & State MOE Financial Data. US Department of Health and Human Services. Accessed July 1, 2014. https://www.acf.hhs.gov/sites/default/files/documents/ofa/fy2022_tanf_and_moe_financial_data_table-final.pdf
[40] Ibid.
[41] Tanner and Huges (2013) include the EITC even if the value of the EITC exceeds the value of taxes paid. They write, “We made this choice to illustrate the importance of such tax credits in offsetting the marginal tax cost of leaving welfare for work. It is important to understand, however, that to the degree that such tax credits exceed the amount of taxes paid, those credits do constitute a form of welfare.”
[42] Bellafiore, Robert. “Earned Income Tax Credit (EITC): A Primer.” Tax Foundation, May 21, 2019. https://taxfoundation.org/research/all/federal/earned-income-tax-credit-eitc/.
[43] Ibid.
[44] Ibid.
[45] Tanner 2022, supra note 6.
[46] Bellafiore, supra note 43.
[47] Ibid.
[48] Tanner 2022, supra note 6.
[49] “Earned Income and Earned Income Tax Credit (EITC) Tables | Internal Revenue Service.” Accessed July 1, 2024. https://www.irs.gov/credits-deductions/individuals/earned-income-tax-credit/earned-income-and-earned-income-tax-credit-eitc-tables.
[50] “Child Care Entitlement to States: An Overview.” Accessed July 1, 2024. https://www.everycrsreport.com/reports/IF10511.html.
[51] Bourne, Ryan. “Childcare.” In Empowering the New American Worker. Cato Institute, December 15, 2022. https://www.cato.org/publications/childcare.
[52] Ferguson, Stephanie. “Understanding America’s Labor Shortage: The Impact of Scarce and Costly Childcare,” June 26, 2024. https://www.uschamber.com/workforce/understanding-americas-labor-shortage-the-scarce-and-costly-childcare-issue.
[53] Lynch, Karen E. “The Child Care and Development Block Grant: In Brief (R47312),” November 18, 2022. https://crsreports.congress.gov/product/details?prodcode=R47312.
[54] The U.S. Administration for Children and Families Office of Child Care. “ARP Child Care Stabilization Funding State and Territory Fact Sheets (June 2023).” Accessed July 1, 2024. https://www.acf.hhs.gov/occ/map/arp-act-stabilization-funding-state-territory-fact-sheets.
[55] GAO “Child Care,” supra note 57.
[56] Tanner and Hughes 2013, supra note 15.
[57]McCarty, Maggie, Libby Perl, and Katie Jones. “Overview of Federal Housing Assistance Programs and Policy (RL34591),” March 27, 2019. https://crsreports.congress.gov/product/details?prodcode=RL34591.
[58] Ibid.
[59] Perl, Libby. “LIHEAP: Program and Funding (RL31865),” June 22, 2018. https://crsreports.congress.gov/product/details?prodcode=RL31865.
[60] Ibid.
[61] Ibid.
[62] Ibid.
[63]Perl, supra note 62.
[64] Tanner and Hughes 2013, supra note 15.
[65] These exception exist for Alaska and Hawaii, where they are higher to account for the increased cost of food.
[66] Ibid.
[67] Ibid.
[68] Aussenberg, Randy, and Gene Falk. “Supplemental Nutrition Assistance Program (SNAP): A Primer on Eligibility and Benefits (R42505),” September 8, 2023. https://crsreports.congress.gov/product/details?prodcode=R42505.
[69] Ibid.
[70] Ibid.
[71] Aussenberg, Randy. “A Primer on WIC: The Special Supplemental Nutrition Program for Women, Infants, and Children (R44115).” Accessed July 1, 2024. https://crsreports.congress.gov/product/details?prodcode=R44115.
[72] Ibid.
[73] Ibid.
[74] Ibid.
[75] “Final Rule: Revisions in the WIC Food Packages (2024) | Food and Nutrition Service (RIN 0584-AE82),” April 18, 2024. https://www.fns.usda.gov/wic/fr-041824.
[76] “Revisions to the WIC Food Package | Food and Nutrition Service.” Accessed July 1, 2024. https://www.fns.usda.gov/wic/food-packages/background-revisions.
[77] Ibid.
[78] “USDA Spending on Food and Nutrition Assistance Programs Declined Further in FY 2023.” Accessed July 1, 2024. http://www.ers.usda.gov/data-products/chart-gallery/gallery/chart-detail/?chartId=109300.
[79] Ibid.
[80] Oliveira, Victor. “Winner Takes (Almost) All: How WIC Affects the Infant Formula Market.” Amber Waves USDA Economic Research Service, September 1, 2011. https://www.ers.usda.gov/amber-waves/2011/september/infant-formula-market/.
[81] Tanner and Hughes 2013, supra note 15.
[82] “FD-149: Questions and Answers about Flexibilities in TEFAP to Streamline Distribution of Foods and Reduce Barriers to Participation | Food and Nutrition Service.” Accessed July 1, 2024. https://www.fns.usda.gov/tefap/qas-flexibilities.
[83] Ibid.
[84] “Affordable Connectivity Program & Lifeline FAQs.” Federal Communications Commission. Accessed July 1, 2024. https://www.fcc.gov/sites/default/files/ACP_Wind-down_Lifeline_Fact_Sheet%20.pdf
[85] Action, Consumer. “Lifeline and the Affordable Connectivity Program.” Consumer Action. Accessed July 1, 2024. https://www.consumer-action.org/english/articles/ACP_Lifeline.
[86] “Affordable Connectivity Program Consumer FAQ | Federal Communications Commission.” Accessed July 1, 2024. https://www.fcc.gov/affordable-connectivity-program-consumer-faq.
[87] Winfree, Paul. “Bidenomics Goes Online: Increasing the Costs of High-Speed Internet.” EPIC for America (blog), January 8, 2024. https://epicforamerica.org/publications/bidenomics-goes-online-increasing-the-costs-of-high-speed-internet/.
[88] Ibid.
[89] Ibid.
[90] Universal Service Administrative Company. “ACP Enrollment and Claims Tracker.” Accessed July 1, 2024. https://www.usac.org/about/affordable-connectivity-program/acp-enrollment-and-claims-tracker/.
[91] ACP Program Consumer FAQ, supra note 90.
[92] Tanner and Hughes 2013, supra note 15.
[93] “History of Changes to the Minimum Wage Law.” U.S. Department of Labor Wage and Hour Division. Accessed 27 August 2024. https://www.dol.gov/agencies/whd/minimum-wage/history
[94] See the Appendix for a complete table on taxes.
[95] Macartney and Ghertner, supra note 18.
[96] Tanner 2022, supra note 6.
[97] “GAO-24-106608: Improper Payments and Fraud: How They Are Related but Different.” U.S. Government Accountability Office. 7 Dec 2023. Accessed August 2, 2024. https://www.gao.gov/products/gao-24-106608
[98] Tanner, Michael D. “Poverty and Welfare” in Cato Handbook for Policymakers. 2022. Accessed August 16, 2024. https://www.cato.org/cato-handbook-policymakers/cato-handbook-policymakers-9th-edition-2022/poverty-welfare
[99] Murphy, Robert P; Lammam, Charles; and MacIntyre, Hugh. “Raising the Minimum Wage: Misguided Policy, Unintended Consequences.” Fraser Institute. 2016. Accessed August 2, 2024. https://www.fraserinstitute.org/sites/default/files/raising-the-minimum-wage-misguided-policy-unintended-consequences.pdf
[100] McCoy, Jacob. “Benefit Cliffs: When It Doesn’t Make Sense To Work.” Cardinal Institute (blog), December 7, 2023. https://cardinalinstitute.com/benefit-cliffs-when-it-doesnt-make-sense-to-work/.
[101] Caplan, Bryan. “The Minimum Wage vs Welfare: Band-Aid or Salt?” Econlog. 24 Feb 2014. Accessed August 2, 2024. https://www.econlib.org/archives/2014/02/the_minimum_wag_3.html
[102] “Graduated Rate Income Tax” in TaxEDU by Tax Foundation. Accessed August 2, 2024. https://taxfoundation.org/taxedu/glossary/graduated-rate-income-tax/#:~:text=Whereas%20graduated%2Drate%20income%20taxes,activities%20that%20contribute%20to%20economic
[103] Earned Income and Earned Income Tax Credit (EITC) Tables | Internal Revenue Service.” Accessed August 2, 2024. https://www.irs.gov/credits-deductions/individuals/earned-income-tax-credit/earned-income-and-earned-income-tax-credit-eitc-tables.
[104] Tanner 2022, supra note 6.
[105] Ibid.
[106] U.S. Bureau of Labor Statistics, Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over [LES1252881600Q], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/LES1252881600Q, August 2, 2024.
[107] Hogan, Thomas. “Fed Admits It Was Wrong—Kind Of.” American Institute for Economic Research. 5 Mar 2024. Accessed August 2, 2024. https://www.aier.org/article/fed-admits-it-was-wrong-kind-of/
[108] Salter, Alexander W. “Money and the Rule of Law: Looking Back After a Year.” American Institute for Economic Research. 7 June 2022. Accessed August 2, 2024. https://www.aier.org/article/money-and-the-rule-of-law-looking-back-after-a-year/
[109] Michel, Adam. “Universal Savings Accounts to Help Families Build Wealth.” Cato Institute. 22 May 2024. Accessed August 2, 2024. https://www.cato.org/blog/universal-savings-accounts-help-families-build-wealth
[110] Ibid.
[111] McBride, William; Li Huaqun; Watson, Garrett; and Durante, Alex. “Simplifying Saving and Improving Financial Security through Universal Savings Accounts.” Tax Foundation. 29 May 2024. Accessed August 2, 2024. https://taxfoundation.org/research/all/federal/universal-savings-accounts-financial-security/
[112] Ibid.
[113] de Rugy, Veronique. “A Better Form of Unemployment Protection.” Regulation. Spring 2021. Retrieved from: https://www.cato.org/regulation/spring-2021/better-form-unemployment-protection
[114] de Rugy, Veronique. “A Timely Redux for Personal Unemployment Insurance Savings Accounts.” Mercatus Policy Brief (April 3, 2020). Mercatus Special Edition Policy Brief, Retrieved from: https://ssrn.com/abstract=3592936 or http://dx.doi.org/10.2139/ssrn.3592936
[115] Ibid.
[116] de Rugy. “A Better Form of Unemployment Protection.”
[117] de Rugy, “A Timely Redux.”
[118] Durante, Alex. “2024 Tax Brackets and Federal Income Tax Rates.” Tax Foundation, November 9, 2023. https://taxfoundation.org/data/all/federal/2024-tax-brackets/.
[119] Yushkov, Andrey. “2024 State Individual Income Tax Rates and Brackets.” Tax Foundation, February 20, 2024. https://taxfoundation.org/data/all/state/state-income-tax-rates-2024/.
The tide of Environmental, Social, and Governance (ESG) causes has been ebbing rapidly. Many of the largest corporations in America have partially or fully reversed course, and large financial institutions have decided to pull back from their international alliances and coalitions. The Trump administration has begun an all-out war on Diversity, Equity, and Inclusion, a subset of the ‘Social’ in ESG, within the federal government.
But the most interesting contest over ESG and DEI has been at the state level. Red states have been warring over ESG policies for years. Texas and Florida led the charge in 2022 and 2023 by changing policies and passing laws curtailing ESG. Other states followed suit: Tennessee, Alabama, Indiana, Oklahoma, Montana, and many more.
These legislative advances have not always been easy. Financial companies and their lobbyists, as well as complacent pension managers and state treasury officials, have threatened financial Armageddon should some of these “anti-ESG” bills be implemented. While some caution should be taken when passing legislation affecting billions of pension dollars and state funds, most of the “costs” projected by pension officials and lobbyists are blatant scare tactics with limited connection to reality. Price tags in the billions of dollars have been used to scare legislators and to provide ammunition for lawsuits to block state reforms on finance and ESG.
One such claim comes from opponents of Wyoming’s latest “anti-ESG” bill. The state Treasurer, Curt Meier, argued that stringent requirements and penalties for asset managers who pursue ESG objectives over financial returns will drive away half of his staff and make Wyoming’s public funds unattractive to top asset managers: “we’re going to be left with nobody to invest, no markets to invest in.”
But when’s the last time you heard a major institutional asset manager turn down $30 billion because it was too difficult to manage? It beggars belief that Wyoming would somehow struggle to find competent managers for its assets. Any financial adviser who objects to investing money for returns rather than for ESG goals ought to be avoided anyway!
State legislators increasingly recognize that they wield significant financial influence when deciding who will manage their financial assets. Texas does not “need” Blackrock or any of the large banks to manage its finances or to buy its bonds. Even if every major bank would refuse to work with Texas, new firms would emerge to profit at their expense. The claim that states won’t have competent managers and firms to work with if they restrict the use of their funds from DEI and ESG priorities is ludicrous.
Promoters of the status quo also argue that the three major institutional investors — Blackrock, State Street, and Vanguard — offer the lowest management fees. While that is true, at least for now, it should not matter much to policymakers. The difference between management fees from the big three and other competitors, like Strive, are negligible — usually less than two tenths of a percent, or $2,000 per million dollars. This is a rounding error compared to the potential for lower returns of multiple percentage points with funds that prioritize ESG rather than pursuing the best financial outcome.
More importantly, the big three asset managers may have broken multiple state laws and violated their fiduciary duties. It doesn’t matter if an embezzler, fraudster, or ponzi scheme artist offers you a lower management fee — state officials have an obligation to their pensioners and their citizens to avoid working with such people. As demonstrated by the American Airlines ruling, a notice letter to the largest banks, and the recent lawsuit against Blackrock, State Street, and Vanguard, investing with large firms who prioritize ESG considerations is fraught with legal risk.
The debate raging in Wyoming is the latest example of the dynamics and arguments laid out here. The state treasurer and other public officials have claimed the new bill will cost up to $5 billion, with a “B”, over the next three years if passed. Such claims don’t pass the smell test — for these estimates to be true, the state fund of $30 billion dollars would have to run five to ten percentage points lower than the status quo for several years in a row — a truly staggering loss of return.
How could losses that large emerge when the difference in management fees is a few tenths of one percent? And the funds will be invested for maximum financial returns rather than non-pecuniary ESG goals. If ESG investing somehow offered a five to ten percentage point higher return than non-ESG investing, the wealth-maximizing strategy would have no conflict with ESG. We know the opposite is the case. If anything, ESG funds have had weaker performance than non-ESG funds and the general market over the past three years.
Of course, states should also avoid playing favorites or putting their thumbs on the scale when it comes to how public money is managed. Pursuing the best financial returns, and keeping non-pecuniary considerations out of the picture, is one thing. Requiring pension money to be invested in fossil fuels or any other industry for political or local economic reasons is another.
Republican legislators have been accused of using state funds as a political football, but the laws on the books champion financial returns and fiduciary responsibility, not favoring pet industries or punishing less-favored ones.
Ultimately, seeking the best financial returns should be the only guiding light for how state funds are managed. Normally such a declaration would be sufficient. But the bait and switch game played by ESG advocates over the past decade, and the clear history of misleading investors about the financial returns of ESG-investing, have pushed state legislators deeper into the weeds of how their assets are managed.
Many legislators believe they must explicitly exclude ESG prioritization to make sure their assets are properly managed. If Blackrock, large banks, and other asset managers don’t like the extra scrutiny and sometimes ambiguous strings attached to managing public money, they have no one to blame but themselves.
Robert Kennedy Jr. is the new Secretary of Health and Human Services. If you enjoy emotionally charged events, you might have found the Senate confirmation hearings regarding Kennedy’s nomination compelling.
Senator Elizabeth Warren, among others, criticized Kennedy for his “dangerous views.” In his book Thinking Fast and Slow, the late Nobel laureate in economics, Daniel Kahneman, cautions against emotionally charged declarations: “It is wise to take admissions of uncertainty seriously, but declarations of high confidence mainly tell you that an individual has constructed a coherent story in his mind, not necessarily that the story is true.”
Kahneman explained that some make decisions involving risk by consulting their emotions: “Do I like it? Do I hate it? How strongly do I feel about it?”
The result is that “the answer to an easy question (How do I feel about it?) serves as an answer to a much harder question (What do I think about it?).” During the Kennedy hearings, many feelings were displayed, but little thinking.
If you lean towards a powerful government and prefer delegating important health choices to experts, you may be at ease with emotional governance.
Warren was confident of the “coherent story” in her mind as she railed against Kennedy. She was concerned that Kennedy would make lawsuits against pharmaceutical companies so easy that he’d “shut down access and manufacturing for vaccines for every one of us.” She opined that “Vaccine manufacturers often operate on very slim profit margins. If they get sued repeatedly and successfully, they simply move out of the vaccine space.”
Warren champions legislation that one analyst says would result in “wholesale expropriation of private enterprise.” How ironic that Warren now wants to exempt some corporations from market forces.
In this essay, I won’t try to settle the charged issue of vaccine safety. However, as an economist, I can identify market distortions resulting from corporations being exempt from market forces like liability.
You may have seen the Hims & Hers Super Bowl ad promoting their weight-loss medications. While the ad avoided naming specific drugs, its visuals showed injection pens similar to those used for Novo Nordisk’s popular Ozempic diabetes treatment.
Like all pharmaceuticals, Ozempic comes with side effects. Some of the side effects are very serious, including vision impairment. For some, the benefits exceed the risks of taking Ozempic for weight loss.
Product liability lawsuits are possible when the product is defective, or consumers are not fully informed of risky side effects whose magnitude is often not evident until years later.
Would a law exempting Ozempic from product liability make these drugs safer or more dangerous? Using her logic at the Kennedy hearings, Senator Warren might argue that such an exemption is necessary in the fight against the nation’s obesity epidemic.
A similar argument was used to pass the National Childhood Vaccine Injury Act of 1986 (Vaccine Act). The Vaccine Act granted pharmaceutical manufacturers broad legal immunity from lawsuits for vaccine injuries. The Act included “preemption of state tort claims… alleging design defects and warning defects.” Further, once approved, a vaccine manufacturer “does not have a statutory obligation to actively collect and analyze safety and efficacy data, nor are manufacturers obligated to update vaccine formulas in light of new scientific advancements.”
The Vaccine Act did provide for a “compensation program for vaccine-related injuries.” Despite original intentions, families of the vaccine-injured face “complex legal hurdles for obtaining Compensation” in a process that has become “adversarial.”
Corporate immunity from lawsuits provides vaccines with a hidden subsidy.
Consequently, the number of vaccines a child receives from birth until 18 has exploded. By one count, in 1983 there were 24 doses of four vaccines administered between birth and age 18. In 2023 up to 88 doses of 16 vaccines were recommended. The Centers for Disease Control (CDC) vaccine recommendations are wide-reaching because they guide the states to set vaccine requirements to attend public schools.
Recommendations from the CDC weren’t handed down from above. CDC recommendations are influenced by politics and the financially intertwined relationships between government and industry.
Dr. Frederik Schaltz-Buchholze, a Danish vaccine expert, counts “11 separate vaccine injections to Danish children, whereas it seems that American children would receive 72 vaccine injections up to 18 years of age.” Dr. Schaltz-Buchholze adds, “I consider several of the vaccines (e.g. hepatitis B, COVID-19, influenza) in the US program to be completely unnecessary and I would not subject my children to this vaccination program if I lived in the US.”
At the Kennedy confirmation hearing, Senator Rand Paul raised the issue of the hepatitis B vaccine administered at birth. Are Drs. Paul and Schaltz-Buchholze anti-vaxxers? Both are clear they are not.
Accusations of being anti-vaccine are used to silence inquiry and debate over concerns about vaccine safety and the schedule for administering vaccines.
Senator Warren is someone for whom inquiry is unnecessary, for she is sure the coherent story in her mind is true. In her story, increasing the number of vaccinations leads to more lives being saved and a healthier nation.
As an economist, I’m raising a cautionary flag. Early in my career, I investigated how insurance regulates risk in nuclear power. I testified before Congress about the Price-Anderson Act’s limitations on nuclear power liability in accidents. Incidentally, conservative supporters of subsidized nuclear power used the same rhetoric now used by those who liability exemptions for vaccines: I support it, the country needs it, so let’s subsidize it.
The issue of limiting liability has been examined by classical liberal law professor Richard Epstein. Writing about the British Petroleum 2010 oil spill in the Gulf of Mexico, he explained why “the best way to deter future spills is to expose drillers to the full costs of any mistake and not let any company without proper insurance near an oil derrick.”
Epstein added, “Solid insurance underwriting is likely to do a better job in pricing risk than any program of direct government oversight.”
The 1986 Vaccine Act is subject to Epstein’s logic. The need for insurance coverage would encourage pharmaceutical firms to prioritize vaccine safety.
Those who support liability exemptions say they are safeguarding public health. Like Warren, they believe that otherwise, vaccine production would be inadequate. They reject criticism of the CDC vaccine recommendations.
Let’s be clear: Rejecting liability shields is not a rejection of vaccines. Liability waivers undermine incentives to prioritize vaccine safety.
Today, I read a case in point about liability and safety: a large product recall of canned tuna due to a risk of food poisoning because of a defect in the can’s pull-tab lid. The manufacturer recalled the product “out of an abundance of caution” despite no reported injuries.
The recall is both expensive and extensive. Why would the manufacturer shoulder this massive cost for what appears to be minimal risk? The answer to that question is straightforward and extends past moral considerations. The manufacturer will be accountable for all product liability claims if the risk proves to be greater than anticipated. It’s smarter to bear a relatively small expense than risk bankruptcy if people start dying.
Under tort law, the need for food doesn’t exempt manufacturers from liability. The need for pharmaceuticals shouldn’t be a defense against tort claims. Emotional governance makes compelling theater, but it is not a search for truth about safety. Eliminating the guard rails of the market process places the public in jeopardy.
Since Bitcoin reached the $100,000 mark, a question has begun to bubble up in the blogosphere and economic discourse: what is the relationship, if any, between the price of gold and Bitcoin?
I wrote code to evaluate the relationship between gold and Bitcoin prices. Using monthly price changes from January 2014 to December 2024, I first ensure the stationary of the date. The data is then split into pre- (2014–2019) and post-pandemic (2020 – present) periods for focused analysis. Granger causality tests are performed to determine whether past values of gold can help predict Bitcoin or vice versa. Correlation coefficients are then calculated to measure the strength and direction of their relationship. A Vector Autoregression (VAR) model to analyze dynamic interactions between the two assets, with Impulse Response Functions (IRFs) applied to illustrate how a shock to one variable (e.g., Bitcoin) affects the other (e.g., gold) over time, providing a detailed view of their economic interplay. The same operations are also performed on the S&P 500 and gold to provide a benchmark for comparison.
Findings Summary
Granger Causality Tests:
Gold and Bitcoin (Pre-Pandemic): The Granger causality tests yield high p-values (> 0.05) for all lags, indicating no evidence that gold influences Bitcoin or vice versa in the pre-pandemic period.
Gold and Bitcoin (Post-Pandemic): The p-values drop slightly, particularly at lower lags (0.1492, 0.129, 0.0982), suggesting a weak indication that gold might influence Bitcoin, though still not statistically significant overall.
Gold and S&P 500 (Pre-Pandemic): P-values are lower for certain lags (0.0787, 0.0798, 0.1223), hinting at a modest causal relationship where gold might provide predictive signals for the S&P 500.
Gold and S&P 500 (Post-Pandemic): P-values remain consistently high (> 0.05) across all lags, showing no significant causal relationship between gold and the S&P 500 post-pandemic.
Correlation Analysis:
Pre-Pandemic:
The correlation between gold and Bitcoin is weakly positive at 0.10, reflecting little connection between the two assets.
Gold and the S&P 500 have a slight negative correlation of -0.08, consistent with gold’s historical role as a counterbalance to equities.
Post-Pandemic:
Gold and Bitcoin show a near-zero correlation (-0.01), indicating their relationship has weakened further.
Gold and the S&P 500 exhibit a stronger positive correlation (0.20), suggesting gold moved more in line with equities during this period, potentially due to pandemic-driven monetary policy or broader risk-on sentiment.
Impulse Response Function (IRF) findings:
Gold and Bitcoin:
Pre-Pandemic: A shock to gold has a small and mixed effect on bitcoin over time, with initial responses being slightly negative before stabilizing near zero. Conversely, a bitcoin shock results in noticeable, short-lived fluctuations in gold prices, though the impact diminishes after a few periods.
Post-Pandemic: Bitcoin becomes more responsive to gold shocks, with sharp, significant reactions observed initially, followed by stabilization. Gold, in turn, reacts more prominently to shocks in bitcoin, showing stronger feedback effects compared to the pre-pandemic period.
Gold and S&P 500::
Pre-Pandemic: A shock to gold has a moderate but short-term negative impact on the S&P 500, consistent with gold’s role as a hedge against equity markets. Shocks to the S&P 500 slightly influence gold prices, although the responses are relatively muted.
Post-Pandemic: Both assets exhibit more dynamic interactions. A gold shock now has a more sustained and mixed effect on the S&P 500, including periods of positive and negative responses.Conversely, S&P 500 shocks have a more noticeable influence on gold prices, highlighting an increased link between the two assets in the post-pandemic environment.
Conclusion
With all the caveats that normally attend econometric analysis, the following can be said. In the pre-pandemic period, gold and Bitcoin exhibited little to no relationship in terms of causality or correlation, with Granger causality tests and correlation analyses showing minimal interaction. In that same time period gold maintained a modest counterbalance role against the S&P 500, consistent with its historical function as a safe-haven asset during periods of equity market stress.
The Impulse Response Function (IRF) analysis further supports this: gold shocks had limited and short-lived impacts on Bitcoin, while Bitcoin shocks caused slight, temporary fluctuations in gold. Similarly, gold’s influence on the S&P 500 was modest, with a negative but short-term impact that aligns with its role as a hedge.
Post-pandemic, gold’s relationship with Bitcoin remains weak overall, but the evidence shows hints of evolving dynamics. Correlation remains near zero, but Granger causality and IRFs suggest a slight increase in mutual influence, with Bitcoin exhibiting sharper responses to gold shocks and vice versa. Meanwhile, gold’s correlation with the S&P 500 has turned moderately positive, reflecting a shift in investor behavior where gold may have tracked broader market movements during times of economic uncertainty. The IRF results further highlight this change: post-pandemic, shocks to gold have a more pronounced and sustained impact on the S&P 500, and the S&P 500 in turn influences gold prices more significantly.
Together, the econometric findings suggest a growing interconnectedness across assets in the post-pandemic period, driven by shared macroeconomic forces and evolving investor sentiment.
President Trump signed an executive order last month directing the Department of Education to prioritize discretionary funding for school choice initiatives.
This order is a step in the right direction and puts wind in the sails of the school choice movement. But executive orders can only do so much. The Education Department’s discretionary funding for school choice is limited, so the order — although welcome — cannot expand educational opportunities to all American families.
To make school choice happen nationally, Congress must get with the program. The good news is Republicans in Congress introduced a nationwide school choice bill last month called the Educational Choice for Children Act.
The bill creates a federal tax credit scholarship program that is neither run nor regulated by the institution President Trump wants to abolish: the Department of Education. This framework means Congress could expand school choice and get rid of the Department of Education at the same time.
People and corporations would receive federal tax benefits for contributing to organizations that provide scholarships to K-12 students. the House Ways and Means Committee passed a version of the bill on a party-line vote last September. That vote was the first time a nationwide school choice bill passed out of a Congressional committee in US history. House Speaker Mike Johnson and Senate Majority Leader John Thune both support the legislation, and President Trump said he would sign it.
This bill would boost the school choice revolution already happening in red states while expanding educational opportunities to families in blue states. Tax credit funding is limited, however, to $10 billion and families must earn no more than 300 percent of the median household income in the area (or a national average of $225,000 according to the latest data from the US Census Bureau) to qualify for the scholarships.
An estimated two million students could benefit from these scholarships. That would be a big win, but it represents less than 4 percent of the roughly 55 million K-12 students in the US.
If we want to unleash education freedom for all, most of the magic needs to happen in the states. The vast majority of K-12 education funding – about 90 percent – comes from state and local sources.
Thankfully, power-hungry teachers unions overplayed their hand during the COVID era by fighting to keep schools closed as long as possible. These government school cartels held children’s education hostage to secure billions of dollars in ransom payments from taxpayers. After seeing left-wing indoctrination in the classroom during remote learning, parents were mobilized to fight for school choice.
Parents were right to be upset. A new nationally representative survey found that Critical Race Theory concepts are prevalent in schools. The Education Next survey from this year found that 36 percent of US high school students reported being taught “often” or “almost daily” that “America is a fundamentally racist nation.”
Because parents have awakened, we’ve seen more advancement on school choice in the past four years than in the preceding four decades. Zero states had universal school choice policies — meaning all families are eligible, regardless of income — before the teachers-union-induced school closures started in 2020. Now, 13 states have passed universal school choice.
Each of these 13 states passed universal school choice policies with Republican-controlled legislatures, which makes sense. Conservative parents are more likely to be upset about leftist indoctrination in public schools, and the Democratic Party is a wholly owned subsidiary of the teachers unions who only want to protect their monopoly. In fact, 99.9% of the campaign contributions from Randi Weingarten’s union – the American Federation of Teachers – went to Democrats in the 2024 election cycle.
Red states are expected to continue leading the way on education freedom. Last month, Tennessee became the first state to go all-in on school choice in 2025, and the thirteenth overall. I expect more red states to follow suit this year.
The Texas Senate already passed a universal school choice bill by a vote of 19 to 12, with only one Republican joining each of the 11 Democrats in opposition.
President Trump posted in support of the bill’s passage and said that the “Texas House must now pass School Choice to deliver a gigantic Victory for Texas students and parents.” Mr. Trump added that he “will be watching them closely.”
Elon Musk agreed. He said, “I hope Dustin Burrows passes school choice in Texas to give kids a chance.”
The Republican Texas House Speaker, Dustin Burrows, responded to them both: “We will.”
Speaker Burrows also said this month that “the political winds have shifted” and that “the votes are there for universal school choice” in the Texas House. Mr. Burrows also voted for school choice last year and signed a pledge to pass universal school choice.
Texas would be the biggest win in the history of the school choice movement. About 10% of all K-12 students in the nation reside in Texas.
The Idaho House passed a universal school choice bill by a vote of 42 to 28 this month. Governor Brad Little also called to expand school choice during his official State of the State address. This is a big deal. Governor Little was endorsed by the teachers union in 2022 and used to be a school choice skeptic.
President Trump is watching Idaho’s bill, too. He endorsed it in a Truth Social post on Sunday. “Congratulations to Governor Brad Little, and Idaho Legislators, who are fighting to bring School Choice to their beautiful State,” Mr. Trump said. “This Bill, which has my Complete and Total Support, MUST PASS!”
The Idaho Senate is expected to vote on this bill Wednesday.
Wyoming’s House passed a universal school choice bill by a vote of 39 to 21 last month and it passed the Senate Education Committee this month. The state legislature passed a universal school choice bill last session, too, but the Republican Governor — Mark Gordon — line-item vetoed most of the bill so that only families from the lowest income category were ultimately eligible to participate.
That’s a shame — Governor Gordon shouldn’t be picking winners and losers. The good news is legislators are already back fighting for all parents, and the Wyoming Superintendent of Public Instruction, Megan Degenfelder, is on board.
So is Donald Trump. On Sunday, the president endorsed the bill, saying that, “Every Member of the Wyoming Senate should vote for HB 199. I will be watching!”
New Hampshire has a shot at expanding its existing education savings account program to all families and North Dakota is in position to pass universal school choice as well. Notably, former North Dakota Governor, Doug Burgum, vetoed a school choice bill that made it to his desk last session because he said it didn’t go far enough. The state’s new Governor, Kelly Armstrong, included school choice in his official State of the State address last month.
North Dakota’s House of Representatives passed a universal school choice bill this month by a vote of 49 to 38. It now awaits a vote in the Senate.
Red states are engaging in friendly competition to empower all families with education freedom. Hopefully Democrats will read the tea leaves soon and support parents, not special interest control.
For far too long in education, the only special interests represented the adults in the system. But now, there’s a new sheriff in town: parents.
Parents are making their voices heard at the ballot box like never before. In fact, two nationwide surveys by America’s most accurate pollster found that Donald Trump was beating Kamala Harris on the issue of education leading up to Election Day, and exit polling found that Mr. Trump won the parent vote by nine points.
Democratic politicians would be wise to embrace school choice and be on the right side of history. They could chip away at the GOP advantage on education freedom and stop the bleeding of votes on the issue.
This realization by Democrats would help them win elections. But, more importantly, it would bring about the bipartisan school choice revolution needed to unleash education freedom in all 50 states.