Category: Data Source
Poverty and Dependency in the United States, 1939–2023
We compare trends in absolute poverty before (1939–1963) and after (1963–2023) the War on Poverty was declared. Our primary methodological contribution is to create a post-tax post-transfer income measure using the 1940, 1950 and 1960 Decennial Censuses through imputations of taxes and transfers as well as certain forms of market income including perquisites (Collins and Wanamaker 2022), consistent with the full income measures developed by Burkhauser et al. (2024) for subsequent years. From 1939–1963, poverty fell by 29 percentage points, with even larger declines for Black people and all children. While absolute poverty continued to fall following the War on Poverty’s declaration, the pace was no faster, even when evaluating the trends relative to a consistent initial poverty rate. Furthermore, the pre-1964 decline in poverty among working age adults and children was achieved almost completely through increases in market income, during which time only 2–3 percent of working age adults were dependent on the government for at least half of their income, compared to dependency rates of 7–15 percent from 1972–2023. In contrast to progress on absolute poverty, reductions in relative poverty were more modest from 1939–1963 and even less so since then.
That is from a new NBER working paper by Richard K. Burkhauser and Kevin Corinth.
Argentina dollar facts of the day
From greenbacks stuffed into children’s teddy bears to fortunes tucked away in the ceiling, Argentines have more than $250 billion in dollars stashed at home, along with offshore accounts and safe-deposit boxes—some six times the reserves of the central bank.
But two years into Milei’s government, Argentines are easing their grip on their precious dollars.
Dollars held in the country’s banks by private-sector investors hit a record at the end of last year of nearly $37 billion, up 160% since Milei took office in December 2023, according to central-bank data.
Here is more from the WSJ.
The economics of hip hop
In a TED Talk released on Monday, I describe a decadelong effort to measure hip hop’s impact. My research team and I assembled a data set tracking the genre’s diffusion from the late 1980s onward. We compiled exposure measures from virtually every U.S. radio station between 1985 and 2002 and from the Billboard Hot 100 from 2000 through 2024, then digitized station playlists using custom AI tools. The result is a detailed record of what different parts of the country heard in a given year. Using modern text analysis, we examined hundreds of thousands of songs and every word they contained.
We classify hip hop into four broad categories: street, conscious, mainstream and experimental…
Radio data also let us look inside the music. Over the past 40 years, hip-hop lyrics have grown substantially more explicit: profanity, violence and misogynistic language each increased roughly fivefold in our text-based measures, while references to drugs rose by approximately half as much. That growth in lyrical intensity helps explain why hip hop continues to provoke anxiety. But it also sharpens the question that matters most, at least to an economist: Does exposure to these lyrics have measurable effects on people’s lives?
To answer that, we looked at locations with varied hip-hop exposure—some places where it arrived early, others where it arrived later. Hip hop initially reached mass audiences through a subset of black radio stations, often those formatted as “urban contemporary.” Some cities gained early access through those stations. Others didn’t for reasons as mundane as geography, signal reach and local radio history.
That uneven rollout created natural variation in exposure.
Using radio data and decades of census records, we estimated how much hip hop was played on the radio in each county in the U.S. over time. We then tested whether increases in hip-hop penetration were linked to changes in crime—and whether people exposed to more hip hop in their formative years experienced worse outcomes in education, employment, earnings, teen births and single parenthood.
The answer was striking. In our estimates, the effects hovered around zero, sometimes even slightly positive. Places with heavier rap exposure didn’t experience higher crime, lower educational attainment or weaker labor-market outcomes relative to trends elsewhere.
Here is more from Roland Fryer, from the WSJ. Here is the TED talk.
Effective tax rates for billionaires
Here is the tweet, here is the source data.
Does Peer-Reviewed Research Help Predict Stock Returns?
Finance theory is in even more trouble than we had thought:
Mining 29,000 accounting ratios for t-statistics > 2.0 leads to cross-sectional return predictability similar to the peer review process. For both, ≈ 50% of predictability remains after the original sample periods. This finding holds for many categories of research, including research with risk or equilibrium foundations. Only research agnostic about the theoretical explanation for predictability shows signs of outperformance. Our results imply that inferences about post-sample performance depend little on whether the predictor is peer-reviewed or data mined. They also have implications for the importance of empirical vs theoretical evidence, investors’ learning from academic research, and the effectiveness of data mining.
That is from a new paper by Andrew Y. Chen, Alejandro Lopez-Lira, and Tom Zimmermann. Via KingoftheCoast.
Mainstream research views on kids, teens, and screens
From Michael Coren at The Washington Post:
The child development researchers I spoke to about it? Practically blasé. They saw screens as a valuable tool — overused but useful — that can help families when handled well.
What I didn’t hear: bans, panic or moral judgments. It was framed as a choice — one you can make better or worse. Researchers expressed a lot of compassion for parents squaring off against massive technology companies whose profit models aren’t always aligned with what’s best for children’s health.
“I am just a lot more concerned about how we design the digital landscape for kids than I am about whether we allow kids to use screens or not,” said Heather Kirkorian, an early childhood development researcher at the University of Wisconsin-Madison. “I haven’t seen concrete evidence that convinces me that screen use itself is creating problematic behavior.”
And for older age groups, there is a new NBER working paper by David G. Blanchflower and Alex Bryson, excerpt:
The change in the age profile of workers’ wellbeing may reflect changes in selection into (out of) employment by age, changes in job quality, or changes in young workers’ orientation to similar jobs over time. But changes in smartphone usage – often the focus of debate regarding declining young peoples’ wellbeing – are unlikely to be the main culprit unless there are sizeable differences in smartphone usage across young workers and non-workers, which appears unlikely.
I am a great believer in work as a way to help improve mental health problems. Here is a quick discussion of media bias on the screens issue. I would stress that none of what I am citing here is at variance with mainstream perspectives on these issues.
The United States as an Active Industrial Policy Nation
We document and characterize a new history of U.S. federal-level industrial policies by scanning all 12,167 Congressional Acts and 6,030 Presidential Orders from 1973 through 2022. We find several interesting patterns. First, contrary to a common perception, the United States has always been an active industrial policy nation throughout the period, regardless of which party is in power, with 5.4 laws and 3.4 Presidential Orders per year on average containing new industrial policies. Second, we identify roughly 300% more instances of industrial policies than those in the Global Trade Alert (GTA) database during 2008-2022, despite using essentially the same definition. Third, industrial policies in practice are as likely to be justified by national security as by economic competitiveness. Fourth, many U.S. industrial policies incorporate design features that help mitigate potential drawbacks, such as explicit expiration dates and pilot programs for emerging technologies. Finally, based on stock market reactions and firm performance, the identified policies are recognized as economically significant in shifting resource allocations.
That is from a new NBER working paper by
So if I were designing an “industrial policy” for America, my first priority would be to improve and “unstick” its procurement cycles. There may well be bureaucratic reasons that this is difficult to do. But if it can’t be done, then perhaps the U.S. shouldn’t be setting its sights on a more ambitious industrial policy.
A second form of American industrial policy is the biomedical grants and subsidies associated with the National Institutes of Health.
Published in 2019, but still relevant today.
Understanding Latin America’s Fertility Decline
This paper examines the sharp decline in fertility across Latin America using both period and cohort measures. Combining Vital Statistics, Census microdata, and UN population data, we decompose changes in fertility by age, education, and joint age–education groups. We show that the decline in period fertility between 2000 and 2022 is driven primarily by reductions in within-group birth rates rather than by changes in population composition, with the largest contributions coming from younger and less-educated women. Comparing the cohort born in the mid 1950s and the one born in the mid 1970s, we find that the decline in completed fertility reflects not only delayed childbearing but also substantial reductions in the average number of children per woman. This is driven primarily by lower fertility among mothers rather than by rising childlessness. Our findings provide new evidence on the nature of Latin America’s transition to below-replacement fertility and highlight several open questions for future research.
That is from a new NBER working paper by
Who is good at soccer?
This study explores the psychological profiles of elite soccer players, revealing that success on the field goes beyond physical ability. By analyzing a sample of 328 participants, including 204 elite soccer players from the top teams in Brazil and Sweden, we found that elite players have exceptional cognitive abilities, including improved planning, memory, and decision-making skills. They also possess personality traits like high conscientiousness and openness to experience, along with reduced neuroticism. Using AI, we identified unique psychological patterns that could help in talent identification and development. These insights can be used to better understand the mental attributes that contribute to success in soccer and other high-performance fields.
That is from a new paper by Leonardo Bonetti, et.al., via Yureed Elahi.
How Restrictive is U.S. Trade Policy?
This short note computes Trade Restrictiveness Index measures for current U.S. trade policy. Building on the ideas of Anderson and Neary (1996, 2005), the Trade Restrictiveness Index is the uniform tariff that leaves the U.S. consumer as well off as under actual policy. As of October 2025, U.S. trade policy is twice as restrictive as headline tariff numbers suggest. The Trade Restrictiveness Index is 23 percent, which stands in contrast to the 11 percent average tariff rate. Trade policy towards Canada and Mexico is two to three times more restrictive than average tariff rates suggest. Sectoral analysis shows that the restrictiveness is concentrated in vehicles, machinery, and electrical equipment.
That is from Michael E. Waugh.
Measuring Efficiency and Equity Framing in Economics Research
Using LLMs:
We measure how frontier research frames what is normatively at stake along the efficiency and equity dimension. We develop and validate an LLM-based measurement pipeline and apply it to 27,464 full-text journal articles from 1950 to 2021. Efficiency focused framing rises through the late 1980s, then declines as equity related framing expands after 1990, especially in applied work and policy evaluations. By 2021, papers with an equity component are about as common as papers framed purely around efficiency. President transmittal letters in the Economic Report of the President show a similar post 1990 shift toward equity, providing an external benchmark.
Here is the new NBER working paper by . I take this to be a sign of radical decline in the quality of our profession. I am all for welfare economics considering values other than efficiency. How about liberty, opportunity, and merit? Actual people, especially Americans, care about those too. The longstanding focus on equity as the relevant alternative to efficiency is one of the most blatant politicizations of economic research you will find. Most people doing it are not even aware of that, they simply take for granted that is the relevant trade-off.
What happens when dating goes online?
This paper studies how online dating platforms have impacted marital outcomes, assortative matching, and sexually transmitted disease (STD) rates in the United States. We construct county-level measures of online dating usage using data from website-based platforms (2002-2013) and mobile app-based platforms (2017-2023). Leveraging county-level variation and an instrumental variable strategy, we show in the desktop era, a 1% increase in online dating sessions raises divorce rates by 0.50%, while in the mobile era, a 1% increase in online dating activity lowers marriage and divorce rates by 0.40% and 0.33%, respectively. We also document shifts in assortative matching. Desktop sites reduce sorting along education and employment dimensions, whereas mobile sites reduce sorting by employment, but increase sorting by race. Across both eras, we find no evidence that greater online dating usage increases average STD rates. Average effects are negative or statistically insignificant, but are positive for some subpopulations. We develop a search and matching model where technological changes impact search costs, market size, and market noise can explain our empirical findings.
That is from a new paper by Daniel Ershov, Jessica Fong, and Pinar Yildirim. Via the excellent Kevin Lewis.
Keeping matters in perspective
Moreover, China’s expanding leadership in scientific production has not translated into a commensurate shift in global diffusion and integration. Elite research remains disproportionately focused on US topics (40% of breakthrough publications), and citations to Chinese research disproportionately come from within China rather than from other regions, even for top-tier science.
That is from a new NBER working paper on the geography of science, by
Is there a British productivity comeback?
Let us hope:
Britain is seeing early signs of a long-awaited turnaround of its productivity woes, according to an alternative measure that suggests output per hour worked has risen at a pace not seen since before the financial crisis.
The Resolution Foundation said a “blistering” productivity surge has been masked by problems with official statistics and pointed to encouraging indications of a clearout of “zombie” firms that contribute little to the economy.
Productivity growth, when measured using the Office for National Statistics’ troubled Labour Force Survey, was just 1.1% in the year through the third quarter of 2025. But the figures look far better when based on employee payrolls data that are more trusted by economists, the think tank said.
“Productivity was essentially flat between the pre-pandemic peak of Q4 2019 and post-pandemic trough of Q1 2024, but it has grown by a blistering 3.4% in the six quarters after that, a rate not seen since before the financial crisis,” the Resolution Foundation said in a report published Monday. Those gains are more than the previous seven years combined, it added.
Here is more from Bloomberg. I will update you on this as I learn more.
Childhood neighbors matter
We explore the role of immediate next door neighbors in affecting children’s later life occupation choice. Using linked historical census records for over 6 million boys and 4 million girls, we reconstruct neighborhood microgeography to estimate how growing up next door to someone in a particular occupation affects a child’s probability of working in that occupation as an adult, relative to other children who grew up farther away on the same street. Living next door to someone as a child increases the probability of having the same occupation as them 30 years later by about 10 percent. As an additional source of exogenous variation in exposure to next door neighbors, we exploit untimely neighbor deaths and find smaller and insignificant exposure effects for children who grew up next to a neighbor with an untimely death. We find larger exposure effects when intensity of exposure is expected to be higher, and document larger occupational transmission in more connected neighborhoods and when next door neighbors are the same race or ethnicity or have children of similar ages. Childhood exposure to next door neighbors has real economic consequences: children who grow up next to neighbors in high income or education occupations see significant gains in adult income and education, even relative to other children living on the same street, suggesting that neighborhood networks significantly contribute to economic mobility.
That is from a recent paper by Michael Andrews, Ryan Hill, Joseph Price, and Riley Wilson. Via Kris Gulati.