Edward Conard

Top Ten New York Times Bestselling Author

  • “Unintended Consequences is full of substance, it is one of the must-read books of the year, and once I finish it I will be giving it a second read through right away.” - Tyler Cowen, Professor, George Mason University
  • “Unintended Consequences offers deep and well-argued analyses on almost every issue.” - The New York Times
  • “…reminds us that inequality sends a signal of what society lacks most, in America’s case, entrepreneurship and risk taking.” - Lawrence Lindsey, CEO, The Lindsey Group, former Director of the National Economic Council
  • “…a must-read for serious students of economic policy.” - Glenn Hubbard, Dean, Columbia Business School, and former Chairman of the Council of Economic Advisers
  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
  • “…a very valuable contribution.” - Larry Summers, former Secretary of the Treasury and director of the National Economic Council, president emeritus, Harvard University
  • “…a very valuable contribution.” - Larry Summers, former Secretary of the Treasury and director of the National Economic Council, president emeritus, Harvard University
  • “Unintended Consequences should be read by anyone who takes for granted the superiority of progressive taxation and has not thought carefully about the trade-offs involved.” - The New Republic
  • “…challenges misconceptions that distort our economic debates.” - Arthur Brooks, President of the American Enterprise Institute
  • “…a comprehensive explanation of the modern economy.” - Julian Robertson, Founder, Tiger Management
  • “…challenges misconceptions that distort our economic debates.” - Arthur Brooks, President of the American Enterprise Institute
Upside of Inequality Oxford Unintended Consequences
Buy the Books
  • Macro Roundup
  • About Roundup
  • About Ed Conard
  • Highlights
  • Topics
  • Subscribe
Edward Conard
  • twitter
  • facebook
  • linkedin
  • youtube
  • Email
  • Text Message (SMS)
  • Twitter/X
  • LinkedIn
  • Facebook
  • WhatsApp Message
Subscribe to Macro Roundup Emails
  • Mentions 172
  • Primary focus 71
Showing 71 database articles primarily about Poverty/Crime
Currently filtering by:
  • Remove Poverty/Crime
  • Remove "primary topics only" restriction
  • Remove 'Database'
Show all 7,192 articles
For whatever topics you select (currently: Poverty/Crime):
Choose search scope

Your importance filter 'Database' shows fewer articles.

Remove filters to see full article counts

The Earned Income Tax Credit

Bruce Meyer American Enterprise Institute
Date Posted:
April 15, 2019
Is Database:
Database

Research by @BruceMeyer at @AEI shows EITC expansions increased labor force participation among single mothers by 7% but reduced it by 1% for married women.

Research by @BruceMeyer at @AEI shows EITC expansions increased labor force participation among single mothers by 7% but...
The Earned Income Tax Credit (EITC) has significant implications for labor market participation and income distribution. Research indicates that EITC expansions between 1984 and 1996 slightly increased labor force participation among married men but reduced it by over 1% for married women. For single mothers, the EITC has been shown to increase employment by 7 percentage points, highlighting its role as a work incentive. However, the credit's design may inadvertently subsidize married mothers to stay at home. The EITC also affects income distribution, with a $1000 increase in the credit reducing poverty rates by 9.4 percentage points among families with children. Despite its benefits, the EITC may lead to wage suppression in low-skilled labor markets, partially offsetting its intended income support. Additionally, self-employed individuals often adjust their reported income to maximize EITC benefits, indicating a nuanced interaction between tax policy and labor supply behavior.

Quick lay of the land on EITC research V. Joseph Hotz and John Karl Scholz, "Examining the Effect of the Earned Income Tax Credit on the Labor Market Participation of Families on Welfare," National Bureau of Economic Research, January 2006, https://www.nber.org/papers/w11968
"...This paper examines the employment effects of the earned income tax credit (EITC). We use a unique dataset, created by matching administrative data from public assistance records, unemployment insurance records, and federal tax returns for a sample of California residents. We conduct a set of four tests to assess our ability to isolate the causal effects of the EITC on employment. The first test is based on the intuition that if the EITC alters employment, all else being equal, employment rates for two-or-more child families should grow relative to the employment rates of one-child families, as credit amounts available to these groups of families diverged over the 1990s. The second test examines whether or not people eligible for the EITC actually file tax returns and claim it. The third test is based on the intuition that, if the EITC, and not other factors such as the strong economy in the 1990s, is causing employment differences between families with two or more children relative to those with one child, we should expect to see no employment differences (after conditioning on other characteristics) between families with two children and families with three or more children, since the EITC did not change differentially for the latter two groups. The fourth test conditions the sample on those who do not file tax returns and again examines employment changes in the 1990s for families with two or more children relative to families with one child. Using fixed-effects empirical employment models estimated on a sample of single-parent families, our coefficient estimates are consistent with the EITC having a substantial, positive effect on the employment of families who have used or will use welfare. finds that IETC reduces work incentives for wives in two parent family..."
Nada Eissa and Hilary Hoynes, "The Earned Income Tax Credit and the Labor Supply of Married Couples," National Bureau of Economic Research, December 1998, https://www.nber.org/papers/w6856

"...Over 18 million taxpayers are projected to receive the Earned Income Tax Credit (EITC) in tax year 1997, at a total cost to the federal government of about 25 billion dollars. The EITC is refundable, so that any amount of the credit exceeding the family's tax liability is returned in the form of a cash refund. Advocates of the credit argue that this redistribution occurs with much less distortion to labor supply than that caused by other elements of the welfare system. This popular view that the credit is unlikely to hold among married couples. Theory suggests that primary earners (typically men) would increase labor force participation, but secondary earners would reduce their labor supply in response to an EITC. We study the labor supply response of married couples to several EITC expansions between 1984 and 1996. While our primary interest is the response to changes in the budget set induced by the EITC, our estimation strategy takes account of budget set changes caused by federal tax policy, and by cross-sectional variation in wages, income, and family size. We use both quasi-experimental and reduced form labor supply models to estimate the impact of EITC induced tax changes. The results suggest that EITC expansions between 1984 and 1996 increased married men's labor force participation only slightly but reduced married women's labor force participation by over a full percentage point. Overall, the evidence suggests that family labor supply and pre-tax family earnings fell among married couples. Our results imply that the EITC is effectively subsidizing married mothers to stay at home, and therefore have implications for the design of the program..."
Mead's case that the effects of the EITC are overstated, not original research

Lawrence Mead, "Overselling the Earned Income Tax Credit," National Affairs, Fall 2014, https://www.nationalaffairs.com/publications/detail/overselling-the-earned-income-tax-credit

"...To economists the important thing is the correlation they find between the EITC and work. Whether the credit operates through promoting work or retention in work, it is raising employment in some way. That is true, as far as it goes. But if such studies are to inform social policy, how the credit operates matters and cannot be ignored. If the EITC causes many poor adults to go to work on their own, as the recent studies assert, then other steps to promote work are superfluous and the idea that the poor just need better incentives and opportunities to work is confirmed. If, on the other hand, the credit only bolsters income after employment, then going to work must still be encouraged and enforced by administrative means. This difference has even broader implications for how we think about poverty. If one assumes that the response to work incentives reflects straightforward income-maximizing behavior, one can downplay the differences between the poor and the middle class. But if, as the observational accounts suggest, the poor are far less responsive to incentives or far less focused on work, then, again, work must be enforced...."
Saez finds that taxpayers who are self employed maximize their income under the EITC

Emmanuel Saez, “Do Taxpayers Bunch at Kink Points?” American Economic Journal: Economic Policy, August 2010, http://eml.berkeley.edu/~saez/saezAEJ10bunching.pdf.

"....This paper uses tax return data to analyze bunching at the kink points of the US income tax schedule. We estimate the compensated elasticity of reported income with respect to (one minus) the marginal tax rate using bunching evidence. We find clear evidence of bunching around the first kink point of the Earned Income Tax Credit but concentrated solely among the self-employed. A simple tax evasion model can account for those results. We find evidence of bunching at the threshold of the first income tax bracket where tax liability starts but no evidence of bunching at any other kink point....Our analysis has found substantial evidence of bunching around the first kink point of the EITC, but concentrated among those reporting self-employment income. For the federal income tax, we have found evidence of bunching only at the first kink point where tax liability starts with no evidence of bunching for higher kink points. We have also developed an econometric method which uses bunching evidence to estimate the intensive elasticity of reported income with respect to (one minus) the marginal tax rate in the standard microeconomic model. Several of our empirical findings suggest that the standard intensive labor supply model cannot fully account for the facts. In the case of the EITC, we have shown that all our empirical findings can be much better explained by a fully rational fixed cost model of misreporting informal self-employment income. In contrast to the standard model, this alternative model can successfully explain why we observe bunching solely for the self-employed and solely around the first EITC kink point (and not around the other EITC kink points) and only when the EITC subsidy rate is larger than the payroll social security tax..."
CRS's Economic Analysis of Program, updated in August. (this also contains an excellent literature review)

Margot Crandall-Hollick and Joseph Hughes, "The Earned Income Tax Credit (EITC): An Economic Analysis," Congressional Research Service, August 13, 2018, https://crsreports.congress.gov/product/pdf/R/R44057

"....Studies indicate that the EITC has a positive effect on the labor force participation of single mothers....More recent research has provided a more complex picture of taxpayer behavior with respect to the EITC, behavior that might not be apparent in the previous analyses of aggregate data. Specifically, it is possible that in certain circumstances a worker may adjust their income level (including by adjusting hours worked) to maximize their credit. To understand this finding, it is important to remember that there are two inflection or “kink” points in the EITC schedule: at the earned income amount and at the phase-out threshold, as illustrated in Figure 1. The earned income amount is the lowest earnings level at which the credit reaches its maximum amount. The phase-out threshold is the highest earnings level at which the credit remains at its maximum amount. Recent research has examined whether taxpayers “bunch” around these inflection point. In other words, do taxpayers tend to earn the exact amount of money needed to get the largest credit? One study found “clear evidence of bunching around the first kink point of the EITC—the point at which the credit reaches its maximum level.” In addition, bunching tended to increase over time, suggesting taxpayers were learning about the structure of the EITC. This effect, however, was concentrated among the self-employed, who can adjust their earnings more easily than wage earners (by reducing hours worked or their reported earnings). No bunching effect was found among EITC recipients with only wage income and the authors did not report evidence of bunching around the second kink point of the EITC. However, these results did indicate that some self-employed individuals were aware of the EITC formula, and how it varied by earnings. Using high rates of “self-employed bunching” as a proxy for “high knowledge” about the structure of the EITC, a subsequent study focusing on wage earners found that EITC claimants who live in “high knowledge” neighborhoods tended to have wage earnings concentrated in the EITC plateau. Crucially, the authors noted that the welfare consequences of the EITC depend on whether the higher concentration of earnings around the refund-maximizing plateau of the EITC schedule comes from increased earnings for those who would have been in the phase-in region or reduced earnings for those who would have been in the phase-out region.45 Assuming no changes in wage rates, this would imply workers would adjust the number of hours they work to maximize the credit. The authors found that the majority of the clustering effect in the plateau region was from workers whose income originally placed them in the phase-in region working more hours, rather than from those in the phase-out region working fewer hours. These studies suggest that low-income workers may respond to the EITC by increasing hours worked.However, this newer research still does not explain why the EITC apparently does not lead to an overall reduction in hours worked among workers whose income places them in the phase-out range, even though economic theory suggests otherwise.As Hoynes states with respect to workers whose income places them in the phase-out region of the credit “we expect hours to decrease... the literature has failed to find a consistent negative impact of the EITC on hours worked. This, I think, is a bit of a puzzle.” One possible theory is that workers in the phase-in range are part-time workers and can increase their hours in response to the EITC, whereas workers in the phase-out range are likely full-time workers who might not have the option to cut back their hours.....With respect to married couples, research focusing on the secondary earner found that the EITC does tend to result in a slight reduction of hours worked among these workers. One study found that EITC expansions resulted in a 0.57% to 4.37% reduction in hours worked among married women, 47 while another study found a similar reduction of 1% to 4% of hours worked among married women....Studies have not focused on the labor supply effects of the EITC for childless workers. One reason may be because the EITC for childless workers was enacted after the credit for workers with children and unlike the credit for workers with children, the childless EITC formula was never expanded. As previously discussed, many studies of the EITC looked at how legislative expansions of the credit for workers with children affected their labor force decisions. The EITC for childless workers has effectively remained unchanged from its 1993 formula—except for annual inflation adjustments. In addition, the EITC for childless workers is likely too small to encourage workers to work at a low-wage job, especially on a full-time basis. For example, a single childless worker working full time at a minimum wage job49 (40 hours a week, 50 weeks a year) would receive a $59 credit in 2018. In contrast, a single parent with just one child working full time at a minimum wage job would receive a $3,461 credit.....According to economic theory, the EITC will unambiguously increase the workforce participation of single workers because these workers can only receive the credit if they work....However, the income of most earners implies that if they were to marry, the combined family income would place the family in the plateau or phase-out range of the credit.102 Over this income range, the income and substitution effects suggest that the secondary earner would be better off staying out of the labor force, which could lead to a reduction of the labor force participation of these individuals. If the secondary earner were to start working, the family’s EITC would either remain constant (if the family remained in the plateau region of the credit), or fall in value (if the family was in the phase-out region of the credit). In either region, the family would still receive a credit, and the income effect would suggest that the secondary earner would be discouraged from entering the workforce. If the family’s income placed them in the plateau region, the family would receive the same amount of the EITC regardless of the number of hours worked. In other words, the credit would not increase their hourly wage, and hence would have no substitution effect. If the family’s income placed them in the phase-out region of the credit, the value of the credit would fall for each additional hour worked. Hence, the cost of leisure would decline, and according to the substitution effect, a secondary earner would be discouraged from working. Thus, in either case, the combined income and substitution effects would discourage some secondary earners from working...."
Bruce Meyer, "The Earned Income Tax Credit," American Enterprise Institute, 2017, https://www.aei.org/spotlight/the-earned-income-tax-credit/"...I will now summarize the EITC's effects on work, particularly for single mothers. The EITC encourages work by making it unequivocally more attractive to single parents who are considering participating in the labor market at all over a year. Regardless of the hours level, the gain from working has increased. Given that for many single mothers the net return to working is so low (weighing what is gained by work compared to what is lost in welfare and other benefits), a few thousand dollars can dramatically change the calculation in favor of working. I calculated with Dan Rosenbaum that the average net return to working—defined as after-tax earnings plus the cash value of benefits received if a woman worked minus the cash value of benefits received if she did not work and averaged over the earnings distribution of single women—was $7,270 in 1984. Tax changes, primarily the EITC, raised that net return to work by an average of $1,442 by 1996 (in 1996 dollars). The increase in incentives was especially high for the lowest-skilled single mothers, those likely to receive welfare benefits and who, if they worked, were likely to be on the phase-in or plateau portions of the EITC schedule. I also examined with Rosenbaum the EITC's effect on the employment of single mothers using a simple structural model and found that the employment of single mothers in 1996 was 7 percentage points higher because of the EITC. We determined the labor supply effects in this study by contrasting employment changes for single mothers with those of single women without children and employment differences across women with different numbers of children, state taxes, and the real value of the credit relative to state living costs. Other studies have found results that imply similar or even larger estimates, exploiting mostly the same types of contrasts.12 Hours of Work. The EITC's expected effects on hours of work for single parents are complicated. Most recipients are on the plateau or phaseout section of the credit schedule, shown in Figure 1.13 Workers whose level of earnings put them on the plateau section or on the phaseout portion are in principle encouraged to reduce their hours under the EITC. However, this theoretical prediction has not been borne out in the data analyzed to date. This lack of an "hours effect" is one of the more puzzling yet robust findings in the literature....various explanations have been offered for this surprising finding. The most common are: (1) workers' inability to freely vary their hours because of employers' preferences for certain hours, (2) measurement error in hours reported, and (3) imperfect perception of marginal tax rates.15 I think the most plausible explanation is imperfect perception of marginal rates. It would not be surprising if recipients do not fully understand the tax schedule given the complexity of eligibility rules and instructions.16 In recent years, the instructions for the EITC have been a dense 13 or 14 pages. The marginal rates are not reported on the tax forms anywhere, unlike the base income tax rates, for which marginal rates are reported quite clearly on the tax rate schedules. Most recipients do not fill out the tax forms themselves,and those who prepare tax returns for them do not routinely explain marginal rates to clients. Thus, a lack of a response to the incentive to reduce hours may not be too surprising. The EITC's expected effects on work and hours among couples are even more complicated. Since at least one parent likely is working, the effects have some similarities to the hours effects for single current recipients, which in principle means the working parent is encouraged to work fewer hours. With couples, overall hours can be reduced by one of the partners leaving the workforce or by one or more partners reducing hours. The main evidence on this occurrence comes from research from Nada Eissa and Hilary Hoynes and from Bradley Heim.18 While Eissa and Hoynes found that the main effect is a reduction in participation by wives, Heim found mainly a change in hours by those who do work. Both papers found a small reduction in overall hours. A caveat on the labor supply effects of the EITC is in order. The increase in the number of low-wage workers caused by the EITC has likely pushed down wages in low-skilled labor markets in general. This wage reduction decreases the earnings and employment of others. While estimating this effect is harder than estimating the labor supply of recipients,19 the overall EITC labor supply effects are likely overstated by the estimated effect on recipients alone...."
Nada Eissa and Hilary Hoynes, "Redistribution and Tax Expenditures: The Earned Income Tax Credit," National Bureau of Economic Research, September 2008, https://www.nber.org/papers/w14307

"...This paper examines the distributional and behavioral effects of the Earned Income Tax Credit (EITC). We chart the growth of the program over time, and argue several expansions show that real responses to taxes are important. We use tax data to show the distribution of benefits by income and family size, and examine the impacts of hypothetical reforms (expansions and contractions) to the credit. Finally, we calculate the efficiency effects of marginal changes to EITC parameters. Targeting the EITC to lower-income families by raising the phase-out rate generates a welfare loss for single mothers, primarily because of the disincentive to enter the labor market and not the traditional hours-of-work distortion...."
Jesse Rothstein, "Is The EITC Equivalent To An NIT? Conditional Cash Transfers and Tax Incidence," National Bureau of Economic Research, May 2009, https://www.nber.org/papers/w14966.pdf

"....The Earned Income Tax Credit (EITC) is intended to encourage work. But EITC-induced increases in labor supply may drive wages down, shifting the intended transfer toward employers. I simulate the economic incidence of the EITC under a range of plausible supply and demand elasticities. In all of the scenarios that I consider, a substantial portion of the intended transfer to low income single mothers is captured by employers through reduced wages. The transfer to employers is borne in part by low skill workers who are not themselves eligible for the EITC and are therefore made strictly worse off by its existence. I contrast the EITC with a traditional Negative Income Tax (NIT). The NIT discourages work, and so induces large transfers from employers of low skill labor to their workers. With my preferred parameters the EITC increases after-tax incomes by $0.73 per dollar spent, while the NIT yields $1.39...".
Austin Nichols and Jesse Rothstein, "The Earned Income Tax Credit," National Bureau of Economic Research, May 2015, https://www.nber.org/papers/w21211.pdf

"....We review research on the Earned Income Tax Credit (EITC), focusing on work appearing since the Hotz and Scholz (2003) review. Recent work has confirmed earlier findings that labor supply effects are positive for single mothers, smaller and negative for married mothers, and essentially nonexistent for men. Where earlier estimates indicated that all responses were on the extensive margin, some recent studies find evidence of non-zero, but small, intensive margin effects. We also review research on the incidence of the credit, suggesting that employers capture some of the program benefits through lower wages; on the large impact of the program on poverty rates and on children’s outcomes; and on families’ apparent preferences for lump-sum refunds over smaller payments distributed throughout the year. We present new evidence regarding the accuracy of EITC imputations in the Current Population Survey. We discuss proposals for reform, including a more generous childless credit, and argue that the EITC may be complementary to the minimum wage, rather than an alternative...."
Hilary Hoynes and Ankur Patel, "Effective Policy For Reducing Inequality? The Earned Income Tax Credit And The Distribution Of Income," National Bureau of Economic Research, July 2015, https://www.nber.org/papers/w21340.pdfhttps://www.nber.org/papers/w21340.pdf

"....In this paper, we examine the effect of the EITC on the employment and income of single mothers with children. We provide the first comprehensive estimates of this central safety net policy on the full distribution of after-tax and transfer income. We use a quasi-experiment approach, using variation in generosity due to policy expansions across tax years and family sizes. Our results show that a policy-induced $1000 increase in the EITC leads to a 7.3 percentage point increase in employment and a 9.4 percentage point reduction in the share of families with after-tax and transfer income below 100% poverty. Event study estimates show no evidence of differential pre-trends, providing strong evidence in support of our research design. We find that the income increasing effects of the EITC are concentrated between 75% and 150% of income-to-poverty with little effect at the lowest income levels (50% poverty and below) and at levels of 250% of poverty and higher. By capturing the indirect effects of the credit on earnings, our results show that static calculations of the anti-poverty effects of the EITC (such as those released based on the Supplemental Poverty Measure, Short 2014) may be underestimated by as much as 50 percent...."

  • Poverty/Crime
  • Fiscal Policy
    • Taxation
  • Workforce
    • Unemployment/Participation
Previous articleApril 15, 2019CBOs Projection of Labor Force Participation RatesCBO projects a decline in overall labor force participation rate by 2.7pp, reaching 60.1% by 2028, primarily due to aging population.Next articleApril 15, 2019The Rise of In-and-Outs: Declining Labor Force Participation of Prime Age MenDeclining labor force participation among prime age men is influenced by “in-and-outs” who temporarily leave the workforce, while permanent dropouts often cite disability as a key factor.
Showing 70 database articles primarily about Poverty/Crime

An Extra Point for Attendance: The Impact of High School Varsity Athletics on Absenteeism

AI Summary. High school varsity sports participation reduces student absenteeism by ~20%, with absence rates falling further during active seasons, indicating the relationship is at least partly causal rather than purely a result of selection.

Nat Malkus and Sam Hollon American Enterprise Institute
Date Posted:
April 16, 2026
Is Database:
Database

The absentee rate of Indiana high school students, ~23% of whom played a varsity sport, was ~20% lower for those who participated in varsity athletics than for non-athletes. The effect was stronger when an athlete’s particular sport was in season.

Does participation in high school sports significantly reduce student absenteeism?

Core argument: Varsity athletes’ absence rates drop 1.37 pts below non-athletes’, a ~20% reduction that drives improved school engagement year-round.

We find that varsity sports participation is strongly associated with better student attendance, and we argue it is plausible that varsity sports participation causes better attendance. When we control for a number of factors that we know matter for both sports participation and attendance, we continue to find that varsity athletes are absent less often than their peers across the entire year. Across the school year, athletes’ absence rate was 1.37 points lower than non-athletes’. That’s a reduction of almost 20%. The broad pattern shown in Table 1 is that students from more advantaged groups were more likely to participate in varsity sports and less likely to be absent from school. It’s thus no surprise that, in the raw data, there is an association between playing varsity sports and having good attendance (Figure 3). But is that because students who attend school more reliably are more likely to play sports or because playing sports leads to better attendance? One way to tease out the answer is to compare varsity athletes' attendance during their sports seasons with their attendance the rest of the year. Not only do varsity athletes have lower annual absence rates—especially unexcused absences—than non-athletes, but [Figure 3 and Figure 4] show that their absence rates fall further when their sport is in season, [which suggests at least some causal effect].

Takeaways by Macro Roundup® AI

  1. Varsity athletes’ absence rates drop 1.37 pts below non-athletes’, a ~20% reduction that drives improved school engagement year-round.
  2. In-season absence rates fall further for varsity athletes, suggesting sports participation directly leads to more reliable attendance patterns.
  3. Athletes from advantaged backgrounds show stronger attendance gains, indicating varsity sports participation compounds existing socioeconomic advantages in school engagement.

Related Articles:

  • The Benefits of Scholastic Athletics — Heckman et al, using two longitudinal data sets with a rich set of controls, find that participation in varsity athletics raises rates of high school and…
  • Long COVID for Public Schools: Chronic Absenteeism Before and After the Pandemic — 28% of American public school students missed at least 10% of the school year in 2022 up from 15% before the pandemic. The change was most pronounced in…
  • The Latest Chronic Absenteeism Numbers — The number of students missing 10% or more of the school year doubled from 15% in 2019 to 28% in 2022 and 26% in 2023. Early reports for 2024 show signs of…
  • Poverty/Crime
  • Workforce
    • Education
      • K-12

Sports Betting Across Borders: Spatial Spillovers, Credit Distress, and Fiscal Externalities

Jacob Goss and Daniel Mangrum Federal Reserve Bank of New York
Date Posted:
March 27, 2026
Is Database:
Database

After the legalization of sports betting in 2018, delinquency rates on a wide range of consumer debts rose, increasing .31pp as of 2025. The delinquency rate for the ~3% of the population that were new gamblers increased by ~10pp driven by those under 40.

Exploiting the staggered roll-out of state-level legalization following the 2018 Murphy v. NCAA decision, we use an extended two-way fixed effects (ETWFE) framework that separately estimates direct treatment effects and cross-border spillover effects. Our first-stage estimates establish that legalization dramatically increases betting activity: average quarterly spending per person rises by roughly $46 from a pre-treatment mean of $2.50, and the share of the population with any sportsbook spending in a quarter increases by 3.1 percentage points. The effects on average spending grow continually over time with no clear evidence of saturation, suggesting the market for mobile sports betting continues to mature years after legalization. At the same time, substantial betting activity occurs in counties where sports betting is not legal but which lie near a legal state, with spillover effects on total spending roughly 14% of the direct effect for counties within 15 miles of a legal state, declining monotonically with distance and approaching zero by 60 miles. These spillovers have real consequences for consumer financial health. Three years after legalization, median credit scores are one point lower and overall delinquency rates increase by 0.31 percentage points following legalization. [Under-40 auto loan delinquency increases by half a percentage point and credit card delinquency by one percentage point, driving the overall increase in delinquency.] Since only about 3.1% of the population takes up betting after legalization, these intent-to-treat estimates would imply that those who are induced to bet due to legalization experience delinquency increases of 10 percentage points.

Related Articles:

  • The Case for Prohibiting Vice — Lehman makes the case for restricting sports gambling, marijuana, and pornography. The costs of vice and its regulation are not limited to individual harm…
  • Americans Increasingly See Legal Sports Betting As A Bad Thing For Society and Sports — 43% of American adults say widespread betting on sports is “a bad thing for society,” up from 34% in 2022. 47% of men under 30 say legal sports…
  • From Sports to AI, America Is Awash in Speculative Fever. Washington Is Egging It On — Citing the AI-related equity boom, crypto and the rise of sports betting, Greg Ip argues that “speculation has become woven into today’s political…
  • Poverty/Crime
  • Politics

New York City Government Services: Services for the Unsheltered

Thomas DiNapoli New York State Comptroller
Date Posted:
March 16, 2026
Is Database:
Database

In 2025 New York City spent $81,705 per “street” homeless person, up 262% from 2019 whose numbers increased 26% during that period. This does not include spending on “sheltered” homeless, who are ~97% of the homeless population.

New York City’s unsheltered population increased from 3,588 in FY 2019 to 4,504 in FY 2025 — a 26% increase from pre-pandemic levels. In that time, spending on services for this population has more than tripled, growing from $102 million in FY 2019 to nearly $368 million in FY 2025 (a 262% increase). Its share of spending has also increased, from just under 5% to nearly 9% of total Department of Homeless Services (DHS) spending.

Related Articles:

  • As New Jobs In Finance Dry Up, New York City’s Fiscal Model Is Wilting — Since January 2020, private sector real hourly earnings have fallen 9% in New York City, while increasing 3% nationally, as large firms based in NYC move jobs…
  • The Clock Now Ticks on Zohran Mamdani — Reihan Salam argues that NYC’s incoming mayor will take office with “the clock on his program already five minutes to midnight,” citing the erosion of the tax…
  • Supply and The Mam — At ~15%, NYC has the highest combined city-state personal tax rate in the US, and the top marginal corporate income tax rate at 17.4%. The city also has the…
  • Poverty/Crime
  • Fiscal Policy
    • Government Spending
  • Workforce

Poverty and Dependency in the United States, 1939–2023

Richard Burkhauser and Kevin Corinth National Bureau of Economic Research
Date Posted:
February 3, 2026
Is Database:
Database

Btw 1939 and 1963, the % of Americans below LBJ’s absolute poverty line (3× the cost of a minimal meal plan), fell from 48.5 to 19.5, driven by rising market income. Post-1964, most (for non-blacks, all) drops were the result of transfers, not earnings.

The major innovation of this paper is to extend a comprehensive and consistent measure of poverty back to 1939, exploiting a quarter century of data before the War on Poverty began. From 1939-1963, absolute poverty fell from 48.5% to 19.5%, a 29 percentage point reduction. This pre-war progress provides important context for previously documented success in reducing poverty afterwards, since it occurred before the major expansion of safety net programs like SNAP, Medicaid, and refundable tax credits. During that 1939–1963 period, it was the growth of market income rather than government transfers net of taxes that reduced poverty rates. In fact, poverty fell no faster in the 24 years after the War on Poverty was declared than in the 24 years before, even when applying the same initial poverty rate to both periods. Our results do not imply that poverty would have necessarily continued to fall at the same rate after 1963 in the absence of the War on Poverty. A pre versus post comparison is conflated by contemporaneous macroeconomic and social changes, such as slower economic growth in the post-1963 period. Conversely, any claim that the War on Poverty was necessary for poverty to decline should be accompanied by an attempt to understand why it had already been falling in the quarter century before it was declared.

Related Articles:

  • Evaluating the Success of the War on Poverty since 1963 Using an Absolute Full-Income Poverty Measure — The US won the War on Poverty on LBJ’s terms, cutting the absolute full-income poverty rate from 19.5% in 1963 to 1.6% in 2019. During these years the share of…
  • The Great “Transfer”-mation — Transfer payments made up 18% of all US personal income in 2022, up from 8% in 1970. Social Security/Medicare made up 56% of the increase from 1970 to 2022…
  • Government Benefit Programs Already Do A Lot To Help Low Income Families — A 2-adult, 3-child US family with $20,000 of market income receives at least $61,000 in annual benefits and has $79,000 of disposable income. That same family…
  • Poverty/Crime
  • Fiscal Policy
    • Government Spending
  • Workforce

The Biggest Fraud in Welfare

Phil Gramm and John Early Wall Street Journal
Date Posted:
December 18, 2025
Is Database:
Database

Counting non-cash benefits as income would reduce the 19.8mm US households defined as poor by 90%. If the $1.4T in annual Federal poverty spending, including non-cash benefits, were distributed in cash to those households, each would receive $70,000.

Counting non-cash benefits as income would reduce the 19.8mm US households defined as poor by 90%. If the $1.4T in annual...
The government’s failure to count its largess as recipients’ income allows welfare households to blow past the income level above which a working family no longer qualifies for government help. Take a single parent with two school-age children who earns $11,000 annually from part-time work. The government considers this household in poverty because its income is below $25,273. But this family would qualify for benefits worth $53,128. It would receive Treasury checks of $3,400 in refundable child tax credits and $4,400 in refundable earned-income tax credits. The family would also receive Food Stamp debit cards worth $9,216 a year, $9,476 in housing subsidies, $877 of government payments for utility bills, $16,033 to fund Medicaid, $3,102 in free meals at school and $6,624 in Temporary Assistance for Needy Families. All this puts the family’s income at $64,128, or 254% of the poverty level. A hardworking family earning anything like $64,128 in salary wouldn’t be eligible for any of these welfare benefits in four-fifths of the states. Meanwhile, the welfare family would be eligible for another 90 small federal benefits and sundry state and local welfare programs.

Related Articles:

  • Stranded by the Safety Net: How to Fix the Benefit Cliff Problem — A non-working, non-disabled mother of two in North Carolina can collect $50k in benefits. Due to benefit phase-outs, she would have to earn $70k in market…
  • Mitigating Benefits Cliffs for Low-Income Families: District of Columbia Career Mobility Action Plan as a Case Study — A single parent with one child in Washington DC, earning $11K, receives $68K of government benefits net of taxes for a total after-tax income of $79K. A…
  • Welfare Is What’s Eating the Budget — Phil Gramm notes that after transfers and taxes “the average household in the bottom, second, and middle quintiles all have roughly the same incomes—despite…
  • Poverty/Crime
  • Fiscal Policy
    • Government Spending
  • Workforce

Explaining the Widening Divides in US Midlife Mortality: Is There a Smoking Gun?

Christopher Foote, Ellen Meara, Jonathan Skinner, and Luke Stewart National Bureau of Economic Research
Date Posted:
December 17, 2025
Is Database:
Database
Is Important:
Important

The college/non-college life expectancy gap widened from 2.6–6.3 years btw 1992 and 2019, while county mortality inequality jumped 30% to the detriment of rural areas. Smoking by state predicts ~300 extra deaths per 100k for non-college grads, 0 for grads.

The education-mortality gradient has increased sharply in the last three decades, with the life expectancy gap btw people with and without a college degree widening from 2.6 years in 1992 to 6.3 years in 2019. During the same period, mortality inequality across counties rose 30%, accompanied by an increasing rural health penalty. Using county- and state-level data from the 1992–2019 period, we demonstrate that these three trends arose due to a fundamental shift in the geographic patterns of mortality among college and non-college populations. First, we find a sharp decline in both mortality rates and geographic inequality for college graduates. Second, the reverse was true for people without a college degree; spatial inequality became amplified. Third, we find that rates of smoking play a key role in explaining all three empirical puzzles, with secondary roles attributed to income, other health behaviors, and state policies. [An objection is that] the non-college smoking rate declined by somewhat more than the college rate from 1992 to 2019. [The resolution is that] college populations gave up smoking decades before non-college populations did. [The key] college/non-college comparison [is] among 55–64 year-olds, the age group for which the smoking mortality penalty is greatest.

Related Articles:

  • Human Capital Spillovers and Health: Does Living Around College Graduates Lengthen Life? — Bor, @Cutler_econ, Glaeser, and @lj_ristovska find a strong negative correlation between the % of college graduates in an area and all-cause mortality, even…
  • Comments On: “Accounting For the Widening Mortality Gap Between American Adults With and Without a BA” By Anne Case and Angus Deaton — Caroline Hoxby argues that Anne Case and Angus Deaton’s recent findings on the divergence btw Americans with a BA and those without is largely driven by…
  • Accounting for the Widening Mortality Gap Between American Adults With and Without a BA — As of 2021, US adults with a college degree have a life expectancy at age 25 on par with Japan, but US adults without a BA have a life expectancy that’s 8.5…
  • Poverty/Crime
  • Politics
  • Workforce
© Copyright 2026 Coherent Research Institute · All Rights Reserved · Privacy · Terms