Category: Data Source
Labor supply is elastic!
Even in Denmark:
We investigate long-run earnings responses to taxes in the presence of dynamic returns to effort. First, we develop a theoretical model of earnings determination with dynamic returns to effort. In this model, earnings responses are delayed and mediated by job switches. Second, using administrative data from Denmark, we verify our model’s predictions about earnings and hours-worked patterns over the lifecycle. Third, we provide a quasi-experimental analysis of long-run earnings elasticities. Informed by our model, the empirical strategy exploits variation among job switchers. We find that the long-run elasticity is around 0.5, considerably larger than the short-run elasticity of roughly 0.2.
That is from a forthcoming American Economic Review piece by Henrik Kleven, Claus Kreiner, Kristian Larsen, and Jakob Søgaard. Via Alexander Berger.
Addendum: The rest of supply is elastic too.
Sentences to ponder
In a much more narrow case, a big study of the views of AI and machine learning researchers revealed high levels of trust in international organizations and low levels of trust in national militaries.
That is from Matt Yglesias.
Lookism and VC
Do subtle visual cues influence high-stakes economic decisions? Using venture capital as a laboratory, this paper shows that facial similarity between investors and entrepreneurs predicts positive funding decisions but negative investment outcomes. Analyzing early-stage deals from 2010-2020, we find that greater facial resemblance increases match probability by 3.2 percentage points even after controlling for same race, gender, and age, yet funded companies with similar-looking investor-founder pairs have 7 percent lower exit rates. However, when deal sourcing is externally curated, facial similarity effects disappear while demographic homophily persists, indicating facial resemblance primarily operates as an initial screening heuristic. These findings reveal a novel form of homophily that systematically shapes capital allocation, suggesting that interventions targeting deal sourcing may eliminate the negative influence of visual cues on investment decisions.
That is from a recent paper by Emmanuel Yimfor, via the excellent Kevin Lewis.
Britain fact of the day
As the number of Brits on sickness and disability support has rocketed in recent years, so have Motability’s sales. It uses its heft to buy new models in bulk, then leases them to claimants — usually for three years — before selling them on to traders like Samani. That has made it the UK’s leading car-fleet operator, and helped skew the market away from private buyers and sellers.
Get this:
Motability bought one of every five new cars sold in the UK last year. And yet it only exists to serve a very specific type of customer: people claiming mobility benefits.
A surge in the number of people claiming disability benefits has seen the number of Motability customers rise by about 200,000 over the past two years to 815,000.
Not good! The market for new private cars is really so anemic? Here is more from Bloomberg. Sarah Haider, telephone!
p.s. When it comes to disability: “In 2024 the DWP reported that there were 0% of fraudulent claims made.“ Whew…
Finland fact of the day
Nearly half of Finns now identify with the political right, according to a new survey by the Finnish Business and Policy Forum (EVA), marking a record high in the organisation’s annual values and attitudes research.
The 2025 survey found that 49 percent of respondents place themselves on the right of the political spectrum. The proportion identifying with the left stands at 31 percent, while only 19 percent consider themselves centrist. The centre has declined steadily with each round of the survey.
Here is the full story, via Rasheed.
The Role of Blood Plasma Donation Centers in Crime Reduction
The United States is one of the few OECD countries to pay individuals to donate blood plasma and is the most generous in terms of remuneration. The opening of a local blood plasma center represents a positive, prospective income shock for would-be donors. Using detailed data on the location of blood plasma centers in the US and two complementary difference-indifferences research designs, we study the impact of these centers on crime outcomes. Our findings indicate that the opening of a plasma center in a city leads to a 12% drop in the crime rate, an effect driven primarily by property and drug-related offenses. A within-city design confirms these findings, highlighting large crime drops in neighborhoods close to a newly opened plasma center. The crime-reducing effects of plasma donation income are particularly pronounced in less affluent areas, underscoring the financial channel as the primary mechanism behind these results. This study further posits that the perceived severity of plasma center sanctions against substance use, combined with the financial channel, significantly contributes to the observed decline in drug possession incidents.
That is from a new paper by Brendon McConnell and Mariyana Zapryanova. Via the excellent Kevin Lewis.
Why is manufacturing productivity growth so low?
We examine the recent slow growth in manufacturing productivity. We show that nearly all measured TFP growth since 1987—and its post-2000s decline—comes from a few computer-related industries. We argue conventional measures understate manufacturing productivity growth by failing to fully capture quality improvements. We compare consumer to producer and import price indices. In industries with rapid technological change, consumer price indices indicate less inflation, suggesting mismeasurement in standard industry deflators. Using an input-output framework, we estimate that TFP growth is understated by 1.7 percentage points in durable manufacturing, 0.4 percentage points in nondurable manufacturing, with no mismeasurement in nonmanufacturing industries.
That is from a recent paper by Enghin Atalay, Ali Hortacsu, Nicole Kimmel, and Chad Syverson. Still, that seems low to me…
Via Adam Ozimek.
Greater Bias Toward Transgender People Compared to Gay Men and Lesbian Women Is WEIRD
The greater acceptance of gay, compared with transgender, people in Western countries may be a result of a specific trajectory—where queer rights was centered by and around White, middle class, gender-conforming gay men—and may not generalize to other places. Two surveys of respondents in 23 countries (Ns∼ = 500 or 1,000 per country) showed that bias toward gay and transgender people is lower in Western (vs. non-Western) countries, but that the relative bias changes as a function of region: there is greater acceptance of gay (vs. transgender) people in most Western countries, whereas the reverse is true in most non-Western countries. Analyses of legal frameworks (N = 193) show that recognition of same-gender unions is prevalent in Western countries but virtually nonexistent elsewhere, whereas recognition of gender marker changes is prevalent throughout the world. Overall, in the most intolerant places, transgender people are relatively more accepted than gay people.
Here is the recent article by Jaimi L. Napier. Via a loyal MR reader.
Economic literacy and public policy views
From a recent paper by Jared Barton and Cortney Rodet:
The authors measure economic literacy among a representative sample of U.S. residents, explore demographic correlates with the measure, and examine how respondents’ policy views correlate with it. They then analyze policy view differences among Republicans and Democrats and among economists and non-economists. They find significant differences in economic literacy by sex, race/ethnicity, and education, but little evidence that respondents’ policy views relate to their level of economic literacy. Examining heterogeneity by political party, they find that estimated fully economically literate policy views (i.e., predicted views as if respondents scored perfectly on the authors’ economic literacy assessment) for Democrats and Republicans are farther apart than respondents’ original views. Greater economic literacy among general survey respondents also does not result in thinking like an economist on policy.
Sad!
GAVI’s Ill-Advised Venture Into African Industrial Policy
GAVI, the Vaccine Alliance has saved millions of lives by delivering vaccines to the world’s poorest children at remarkably low cost. It’s frankly grotesque that RFK Jr. cites “safety” as a reason to cut funding—when the result of such cuts will be more children dying from preventable diseases. Own it.
You can find plenty of RFK Jr. criticism elsewhere, however, and GAVI is not above criticism. Thus, precisely because GAVI’s mission is important, I want to focus on a GAVI project that I think is ill-motivated and ill-advised, GAVI’s African Vaccine Manufacturing Accelerator (AVMA).
The motivation behind the AVMA is to “accelerate the expansion of commercially viable vaccine manufacturing in Africa” to overcome “vaccine inequity” as illustrated during the COVID crisis. The problem with this motivation is that most of Africa’s delay in receiving COVID vaccines was driven by funding issues and demand rather than supply. Working with Michael Kremer and others, I spent a lot of time encouraging countries to order vaccines and order early not just to save lives but to save GDP. We were advisors to the World Bank and encouraged them to offer loans but even after the World Bank offered billions in loans there was reluctance to spend big sums. There were supply shortages in 2021 in Africa, as there were elsewhere, but these quickly gave way to demand issues. Doshi et al. (2024) offer an accurate summary:
Several reasons likely account for low coverage with COVID-19 vaccines, including limited political commitment, logistical challenges, low perceived risk of COVID-19 illness, and variation in vaccine confidence and demand (3). Country immunization program capacity varies widely across the African Region. Challenges include weak public health infrastructure, limited number of trained personnel, and lack of sustainable funding to implement vaccination programs, exacerbated by competing priorities, including other disease outbreaks and endemic diseases as well as economic and political instability.
Thus, lack of domestic vaccine production wasn’t the real problem—remember, most developed countries had little or no domestic production either but they did get vaccines relatively quickly. The second flaw in the rationale for the AVMA is its pan-African framing. Africa is a continent, not a country. Why would manufacturing capacity in Senegal serve Kenya better than production in India or Belgium? There’s a peculiar assumption of pan-African solidarity, as if African countries operate with shared interests that go beyond those observed in other countries that share a continent.
Both problems with the rationale for AVMA are illustrated by South Africa’s Aspen pharmaceuticals. Aspen made a deal to manufacture the J&J vaccine in South Africa but then exported doses to Europe. After outrage ensued it was agreed that 90% of the doses would be kept in Africa but Aspen didn’t receive a single order from an African government. Not one.
Now to the more difficult issue of capacity. Africa produces less than .1% of the world’s vaccines today. The African Union has what it acknowledges is an “ambitious goal” to produce over 60 percent of the vaccines needed for Africa’s population locally by 2040. To evaluate the plausibility of this goal do note that this would require multiple Serum‑of‑India‑sized plants.
More generally, vaccines are complex products requiring big up-front investments and long lead times:
Vaccine manufacturing is one of the most demanding in industry. First, it requires setting up production facilities, and acquiring equipment, raw materials, and intellectual property rights. Then, the manufacturer will implement robust manufacturing processes and manage products portfolio during the life cycle. Therefore, manufacturers should dispose of an experienced workforce. Manufacturing a vaccine is costly and takes seven years on average. For instance, it took about 5–10 years to India, China, and Brazil to establish a fully integrated vaccine facility. A longer establishment time can be expected for African countries lacking dedicated expertise and finance. Manufacturing a vaccine can costs several dozens to hundreds of million USD in capital invested depending on the vaccine type and disease indication.
All countries in Africa rank low on the economic complexity index, a measure of whether a country can produce sophisticated and complex products (based on the diversity and complexity of their export basket). But let us suppose that domestic production is stood up. We must still ask, at what price? If domestic manufacturing ends up being more expensive than buying abroad (as GAVI acknowledges is a possibility even with GAVI’s subsidies), will African countries buy “locally” and pay more or will solidarity go out the window?
Finally, even if complex vaccines are produced at a competitive price, we still haven’t solved the demand problem. GAVI again has a rather strange acknowledgment of this issue:
Secondly, adequate country demand is another critical enabler. For AVMA to be successful, African countries will need to buy the vaccines once they appear on the Gavi menu. The Secretariat is committed to ongoing work with the AU and Member States on demand solidarity under Pillar 3 of Gavi’s Manufacturing Strategy.
So to address vaccine inequity, GAVI is investing in local production….but the need to manufacture “demand solidarity” among African governments reveals both the flaw in the premise and the weakness of the plan.
Keep in mind that the WHO only recognizes South Africa and Egypt as capable of regulating the domestic production of vaccines (and Nigeria as capable of regulating vaccine imports). In other words, most African governments do not have regulatory systems capable of evaluating vaccine imports let alone domestic production.
GAVI wants to sell the AVMA as if were an AMC (Advance Market Commitment) but it isn’t. It’s industrial policy. An AMC would offer volume‑and‑price guarantees open to any manufacturer in the world. An AMC with local production constraints is a weighted down AMC, less likely to succeed.
None of this is to imply that GAVI has no role to play. In addition to a true AMC, GAVI could arrange contracts to pay existing global suppliers to maintain idle capacity that can pivot to African‑priority antigens within 100 days. GAVI could possibly also help with regulatory convergence. There is an African Medicines Agency which aims to operate like the EMA but it has only just begun. If the AMA can be geared up, it might speed up vaccine approval through mutual recognition pacts.
The bottom line is that the $1.2 billion committed to AVMA would likely better more lives if it was directed toward GAVI’s traditional strengths in pooled procurement and distribution, mechanisms that have proven successful over the past two decades. Instead, AVMA drags GAVI into African industrial policy. A poor gamble.
Markets, Culture, and Cooperation in 1850-1920 U.S.
From a very recent working paper draft by Max Posch and Itzchak Tzachi Raz:
We study how rising market integration shaped cooperative culture and behavior in the 1850–1920 United States. Leveraging plausibly exogenous changes in county-level market access driven by rail-road expansion and population growth, we show that increased market access fostered universalism, tolerance, and generalized trust—traits supporting cooperation with strangers—and shifted coopera-tion away from kin-based ties toward more generalized forms. Individual-level analyses of migrantsreveal rapid cultural adaptation after moving to more market-integrated places, especially among those exposed to commerce. These effects are unlikely to be explained by changes in population diversity,economic development, access to information, or legal institutions.
Here is the link.
Emotions and Policy Views
I would call this a story of negative emotional contagion:
This paper investigates the growing role of emotions in shaping policy views. Analyzing social citizens’ media postings and political party messaging over a large variety of policy issues from 2013 to 2024, we document a sharp rise in negative emotions, particularly anger. Content generating anger drives significantly more engagement. We then conduct two nationwide online experiments in the U.S, exposing participants to video treatments that induce positive or negative emotions to measure their causal effects on policy views. The results show that negative emotions increase support for protectionism, restrictive immigration policies, redistribution, and climate policies but do not reinforce populist attitudes. In contrast, positive emotions have little effect on policy preferences but reduce populist inclinations. Finally, distinguishing between fear and anger, we find that anger exerts a much stronger influence on citizens’ policy views, in line with its growing presence in the political rhetoric.
That is from a new paper by Eva Davoine, Stefanie Stantcheva, Thomas Renault, and Yann Algan.
Is there a recent surge in U.S: productivity growth?

Here is much more from Timothy Taylor.
The Impact of Dating Apps on Young Adults: Evidence From Tinder
Online dating apps have transformed the dating market, yet their broader effects remain unclear. We study Tinder’s impact on college students using its initial marketing focus on Greek organizations for identification. We show that the full-scale launch of Tinder led to a sharp, persistent increase in sexual activity, but with little corresponding impact on the formation of long-term relationships or relationship quality. Dating outcome inequality, especially among men, rose, alongside rates of sexual assault and STDs. However, despite these changes, Tinder’s introduction did not worsen students’ mental health, on average, and may have even led to improvements for female students.
That is from a new paper by Berkeren Büyükeren, Alexey Makarin, and Heyu Xiong.
New York facts of the day
It’s truly astonishing how fiscally irresponsible New York is. The state budget proposal calls for $254 billion in spending, which is 8.3 percent higher than last year. That comes despite New York’s population having peaked in 2020. It’s a spending increase far in excess of the rate of inflation to provide government services for fewer people.
Ditch compares the New York state budget to the Florida state budget, a sensible comparison since both are big states with major urban and rural areas and high levels of demographic and economic diversity. He finds:
- New York’s spending per capita was 30 percent higher than Florida’s in 2000. It was 133 percent higher last year.
- New York’s Medicaid spending per capita was 112 percent higher than Florida’s in 2000. It was 208 percent higher last year. Florida has not expanded Medicaid under Obamacare, while New York has expanded it more aggressively than any other state. “For perspective, in 2024 New York spent nearly as much per capita on Medicaid ($4,551) as Florida did for its entire state budget ($5,076).”
- New York’s education spending per student is highest in the country, at about $35,000. Florida spends about $13,000 per student. Florida fourth-graders rank third in the country in reading and fourth in math. New York fourth-graders rank 36th and 46th.
- Florida has surpassed New York in population and continues to boom.
Here is more from Dominic Pino.