A reminder (for academics)

Yes, there are skills AIs haven’t mastered. But if your skill still appears to be the exclusive province of humans, that might mean the major AI companies do not yet consider it very important to master right away. Eventually it will rise to the top of the list.

Here is more from my Free Press essay on AI.  If not for the copied passage, it seems no one was noticing this book review? (NYT, read the emendation)

New issue of Econ Journal Watch

EJW Volume 23, Issue 1, March 2026

Specification Searching in the Race between Education and Technology: Joseph Francis criticizes a canonical model of the American labor market, which has been used to advocate for more funding for education to reduce inequality. He shows how the model has routinely failed to predict the evolution of the college wage premium. Ad hoc econometric adjustments have been necessary to make the model fit the data, most notably in Claudia Goldin and Lawrence F. Katz’s well-known book. (The commented-on authors are hereby invited to reply in a future issue.)

Globalization and the China Shock: A Reassessment: David Autor, David Dorn, and Gordon Hanson estimated the effect of imports of manufactured goods from China from 1990 to 2007 on employment, wages, and social welfare payments in the USA, concluding that imports from China reduced manufacturing employment and lowered wages of workers in non-manufacturing industries. Robert Kaestner argues that the authors’ focus only on Chinese imports, which are correlated with imports from other countries and likely other omitted variables, muddles the interpretation and usefulness of their results. Kaestner argues that their estimates do not measure the effect of Chinese imports on employment and wages holding all other things equal, and do not even measure the broader equilibrium effect of Chinese imports on outcomes that includes changes in imports from other countries. Overall, the evidence suggests that omitted variable bias is likely, which renders their estimates uninformative. (The commented-on authors are hereby invited to reply in a future issue.)

Learning on machine learning on the housing supply impact of land use reforms: An Urban Studies article reports relatively modest housing-stock gains from liberalization, based on a dataset of reforms identified via machine learning applied to newspaper coverage. Researchers at the American Enterprise Institute challenge the article’s methodology and conclusions, and the Urban Studies authors respond.

An Article in Science on Covid Origins Contains a Fundamental Error: An influential article claimed that Bayesian analysis of the molecular phylogeny of early SARS-CoV-2 cases indicated that the likelihood that two successful introductions to humans had occurred was greater than the likelihood that just one had occurred. After correcting a fundamental error in Bayesian reasoning, the results presented in that paper imply larger likelihood for a single introduction, reducing the plausibility of the wet-market zoonosis account of Covid’s origins. (The commented-on authors were invited to reply and the invitation remains open.)

A Critique of Synthetic Control Method Studies on Covid-19 Policy—Evidence from Sweden: Five studies employing the Synthetic Control Method (SCM) conclude that Sweden would have experienced lower mortality had it imposed a mandatory lockdown in early 2020. Dividing Sweden into four hypothetical countries based on winter holiday timing—a proxy for pre-lockdown viral seeding—Jonas Herby shows that the estimated lockdown effect varies dramatically across regions with identical policies, suggesting SCM captures variation in viral spread rather than a causal policy effect. Sweden’s low excess mortality in the end suggests that Sweden’s state epidemiologist, Anders Tegnell, was right all along. (The commented-on authors are hereby invited to reply in a future issue.)

Central Banking Research Is Increasingly Directed to Environment, Inequality, Gender, and Race: Radu Șimandan and Cristian Valeriu Păun use the Scopus database to show how environment, inequality, gender, and race have soared as topics in research outlets supposedly focused on money and banking. They discuss the hazards of subverting price stability and other traditional central bank mandates.

Power Analysis Is Essential—A Case Study in Rounded Shapes: A Journal of Consumer Research article reported an A/B test where simply rounding the corners of square buttons increased click-through rate by 55 percent, but provided no power analysis. Ron Kohavi and coauthors show that the original study was highly underpowered. They report that three high powered A/B replications, each over two thousand times larger, had estimated effects approximately two orders of magnitude smaller than initially claimed. (The commented-on authors are hereby invited to reply in a future issue.)

“Impartial spectator” in Adam Smith’s The Theory of Moral Sentiments: In the previous issue, a critique alleged that numerous scholars flatten Smith’s “impartial spectator.” Jack Weinstein responds with “Adam Smith’s Impartial Spectator Is Neither Divine Nor an Ideal Observer,” and the critics renew their case against flattening “impartial spectator.”

The Ideological Profile of France’s Economic Bestsellers: Alexis Sémanne inspects the 100 economics bestsellers for 2024, as listed by a leading French bookseller. He develops seven categories and evaluates each book for its ideological tendency. Quite few of the books offer a freedom-oriented perspective.

Green Vanities in Europe: John Constable reviews A Green Entrepreneurial State? Exploring the Pitfalls of Green Deals, edited by Magnus Henrekson, Christian Sandström, and Mikael Stenkula, a book which reveals more than the fact that green deals in Europe have been failures.

EJW thanks its referees and others who contribute to its mission.

EJW Audio:

Sentences to ponder

This matters for the AI question, and the book leaves it unfinished. If the breakthroughs of the past required social conditions, not just cognitive capacity, then what does it mean when the next breakthroughs are produced by systems that have no social conditions at all? A neural net does not need a university chair or financial independence from the church. It does not need to reorganize its commitments. It does not, in any recognizable sense, have commitments. The machine that replaces the marginalist is not a better marginalist. It is a different kind of thing entirely.

That is from Jônadas Techio, presumably with LLMs, this review of The Marginal Revolution is interesting throughout.  And this:

Maybe the book demonstrates only that Cowen personally remains good at something the field no longer needs.

Monday assorted links

1. Was there a great Philadelphia cheese steak stagnation?

2. David French on the enemies of free speech (NYT).  And yes it is Indonesian censorship, nothing to celebrate.

3. Profile of Hussein Aboubakr.  Good piece on one of today’s best thinkers and writers.  Link to Twitter and Substack.  Unlike many writers on these topics, it is not about your opinion of Israel, rather each piece is interesting and substantive.  Try his essay on Mahfouz.

4. Lab Leak is somewhat declining in plausibility.

5. “China is cracking down on families who opt to bury their dead in empty high-rise properties — known as “bone ash apartments” — rather than pay skyrocketing costs for cemetery plots.” (FT)

6. Do developing countries still need to industrialize?

7. JFV on education and AI.

Grade Caps are Not a Good Solution to Grade Inflation

It’s well known that grade inflation has “degraded” the informational content of grades at many colleges. At Harvard, two-thirds of all undergraduate grades are now A’s—up from about a quarter two decades ago. In response, a Harvard faculty committee has proposed capping A grades at 20 percent of each class (plus a cushion for small courses). That may give professors some cover to resist further inflation, but it doesn’t solve the real problem.

The real problem is not inflation per se. It’s that students are penalized for taking harder courses with stronger peers. A grade cap leaves that distortion intact—and can even amplify it. As Harvard economist Scott Kominers argues:

A grade cap systematically penalizes ambitious students for surrounding themselves with strong classmates. Perverse course-shopping incentives ensue as a result. A student who is prepared for an advanced course but concerned about landing in the bottom 80 percent may choose to drop down preemptively—seeking out a pond where they are a relatively bigger fish. As strong students move into lower-level courses, competition for A grades increases there while harder courses continue to shrink—reducing their A allocation further and driving more students away.

The underlying issue is informational. A grade tries to capture two things—student ability and course difficulty—with a single number. Gans and Kominers show that in general this is impossible: if some students take math and earn B’s while others take political science and earn A’s, there is no way, from grades alone, to tell whether the difference reflects ability or course difficulty.

There is, however, a solution in some cases. Clearly, if every student takes some math and political science courses, informative patterns can emerge. If math students tend to get B’s in math but A’s in political science, while political science students get A’s in their own field but C’s in math, you can begin to separate course difficulty from student ability.

Students don’t all overlap the same classes. But full overlap isn’t necessary—you just need a connected network. If Alice just takes math courses, Joe takes math and political science courses, and Bob just takes political science courses, then Alice and Bob can be compared through Joe. With enough of these links, the entire system can be stitched together. The more overlap, the more precise the estimates.

Valen Johnson proposed a practical method along these lines in 1997. Gans and Kominers embed the same intuition in a much more general framework, showing exactly what can and cannot be inferred, and under what conditions.

The great thing about achievement indexes based on relative comparisons is that they are robust to grade inflation and do not penalize students for taking hard classes or subjects. A political science student who chooses to take a tough math class instead of an easy-A intro to sociology course won’t be penalized because their low math grade will, in effect, by boosted by the difficulty of the course/quality of the students. That’s good for the student and also good for disciplines that have lost students over the years because they held the line on grade inflation.

One final point. Harvard’s cap proposal appears to have been developed with little engagement with researchers who have studied problems like these for decades in the mechanism and market design literature—people like Kominers, Gans, Budish, Roth, Maskin, and Sönmez, some of them at Harvard! Moreover, this isn’t a case of ignoring high-theory for practice. The high-theory of mechanism design has produced real-world systems including kidney exchanges, school choice mechanisms, physician-resident matching, even the assignment of students to courses at Harvard, as well as many other mechanisms. Mechanism design is practical.

Grade inflation is a mechanism design problem—and we know a lot about how to solve it, if we want to solve it.

Do Parents Propagate Inequality Among Children?

The subtitle of the piece is “Evidence From Chinese and Swedish Twins.”  Abstract:

Economists have long studied how parental behavior shapes within-family inequality, yet empirical findings remain mixed. Using twins data from China and Sweden, we examine the predominant mechanisms reported in the literature. Parents in both countries invest similarly during childhood. Inter vivos transfers, however, differ: Chinese parents reinforce income inequality, whereas Swedish parents distribute wealth equally; the reinforcing pattern reflects exchange motives. Bequests are divided equally in both countries. Parental education plays a key role: less educated parents reinforce income inequality, whereas more educated parents transfer wealth equally. Cross-country differences in parental education may thus help explain the mixed findings.

By Aiday SikhovaSven OskarssonRafael Ahlskog.  Via the excellent Kevin Lewis.

Claudia Goldin and the WNBA

After Claudia Goldin became the first woman to win a solo Nobel in economics in 2023, she received hundreds of invitations and requests. She accepted just three.

One of them was advising the WNBA players union as the women prepared to negotiate a new labor deal with the league.

When Goldin replied via email to Terri Carmichael Jackson, executive director of the players union, “I remember just reading it and screaming,” Jackson said. Goldin had one requirement: She refused to be paid.

This month, the two sides reached a collective bargaining agreement that gave Women’s National Basketball Association players a nearly 400% raise. Starting this season, players’ average salary will top $580,000.

It isn’t just the biggest pay increase in U.S. league history. It is, as far as Goldin is aware, the biggest increase any union anywhere has ever negotiated.

“It’s astounding,” the 79-year-old Harvard economist said.

Mike Bass, a spokesman who represents both the National Basketball Association and the WNBA, called the deal “transformational.”

…More recently, as the pay negotiations stretched on, Goldin said she stayed focused not on the countless separate points in the typical lengthy labor deal but on one central equation: the fraction of league revenue going to players’ salary and benefits.

Goldin’s calculations had a calming effect on the players, said Jackson, the union’s executive director.

Here is more from the WSJ.  Via Anecdotal.

*The AI Doc*

The subtitle of the movie is Or How I Became an Apocaloptimist, and here is the trailer.

Overall this film was better and smarter than I was expecting.  Intelligent people were allowed to speak, and to present various sides of the issue.  It was also interesting to see how various people one knows come across on the big screen.

It is easy enough to mock the final section of the movie, which calls for a participatory “civil rights” movement on AI, negotiations with China, and a big voice for trade unions in the decisions.  What Dan Klein calls “the people’s romance.”  The Straussian read there is correct, even though it probably was not intended by the moviemakers.  In reality, for better or worse, the final decisions will continue to be made by the national security establishment.

On a weekend, there were five other people in the theater.

The Candidates’ tournament

Caruana and Sindharov have won today, obviously boosting Caruana’s chances as favorite (he beat Nakamura, the number two rated player in the tournament).  Yet what the chess world needs right now is not a winner, but rather a greater sense of legitimacy for the world title.  Ideally the same person should win a championship match two or three times in a row, and with a decisive margin.  They do not have to be as good as Carlsen, just clearly better than everyone else.  Nepo never quite made it, Ding has retreated from the chess world, and Caruana has yet to win a first title.  Is he young enough to win a few in a row?  Or are we waiting for Nordirbek Abdusattorov (or someone else) to enter the cycle?  I fear decisiveness is not soon on the way.  There are several (relatively) weak players in this tournament, so a variety of players can win just by beating up on the weakies, rather than by demonstrating mastery over their strongest peers.  Legitimacy is likely to remain uncertain, to the detriment of the chess world.  But soon we will know more.

Scott Sumner on *The Marginal Revolution*

My favorite part of Tyler’s book is where he asks a very good but non-obvious question: Why did it take so long for economics as a field to develop a coherent model or framework of analysis? Much of the book discusses how three economists simultaneously developed marginal analysis, with a focus on the work of Stanley Jevons. Here I’ll briefly provide the intuition of marginal analysis and then explain why economics is both extremely easy but also quite difficult…

Tyler does a great job explaining why Jevon’s model of marginal analysis (which underlies most of modern microeconomics) is elementary on one level, but also something that wasn’t discovered until the 1860s because it was not at all obvious. Here’s how he concludes Chapter 3:

[This is TC now] By studying the slow intellectual development of economics, and contrasting it with other fields of study, we can learn the following:

1. Some insights are very hard to grasp, even if they are apparently simple once they are understood. People need to “see around corners” in the right way to understand these insights and incorporate them into their world views.

2. Economics is one of those fields, and that is why it took intuitive economic reasoning so long to evolve, marginalism included. Those of us who are educators, or who spend time talking to policymakers, should take this point very seriously.

3. Even very, very smart people are likely unaware that these “see around the corner” insights are missing – did Euclid rue that he did not have access to proper supply and demand and tax incidence theory? Probably not.

4. Economics is not the only such field that is hard to grasp, some other examples being segments of botany, geology, and evolutionary biology.

5. Scientific revolutions come about when many complementary pieces are in place, such as financial support, intellectual independence, and networks of like-minded others to talk with.

Those conditions help people to understand that “seeing around those corners” can bring both high social and professional returns.

Are there major conceptual corners that today still no one can see around? If so, how might we discover what they are? And why are we not working harder on this? Or are we?

Here is the rest of Scott’s commentary.  Here is the online book.

Shruti interviews V. Anantha Nageswaran on the Indian economy

He is currently serving as the Chief Economic Advisor to the Government of India, and also is the co-author of the books Economics of Derivatives and The Rise of Finance: Causes, Consequences and Cures.  The podcast covers import substitution and strategic resilience, futures and options market, gross fixed capital formation, crypto markets, India’s growth trajectory, and much more.

Here is the audio and video on YouTube.  Here is a linked transcript.  Excerpt:

RAJAGOPALAN: The policy response to this has come in a couple of different ways. One has come through SEBI. It has started raising contract sizes and limiting weekly expiration,and so on. Another instrument has come through taxation. There have been STT [Securities Transactions Tax] hikes in consecutive budgets,but there is one thing about STT that I want to understand a little bit better from someone like you who has thought about this deeply.

Now, STT on futures is being levied on the notional value of the contract, which is the full traded price, whereas the STT on the options is levied on the premium, which is a small fraction of the overall underlying value of the notional exposure. The effective tax that is imposed is much more on the futures trade, manyfold more actually, than it is on the options trade, whereas the speculation is mostly happening on the options side, which is also where most of the retail investors are losing money because the futures side is much better capitalized, larger firms, and so on.

NAGESWARAN: No, also the futures side is probably used more by institutions, and therefore, they are able to put up the margin requirement, etc., better than the options trades, where the individuals are being sold almost like the₹10 sachet-type options, and the options…

RAJAGOPALAN: Exactly, sachetization options, absolutely.

NAGESWARAN: Yes. Go ahead.

RAJAGOPALAN: Now with each successive hike in the STT,we’re seeing the gap widen. It’s on the margin, making futures relatively more expensive than options just because it’s taxing each trade. It’s like a toll fee that’s paid almost on every transaction. Your book was precisely about understanding these kinds of policy instruments. Given that now we have a tax instrument which inadvertently favors the more speculative instrument. Is that a good way of thinking about it, or how would you think about this problem?

NAGESWARAN: No, I think you have given me a lot to think about on this. I probably haven’t applied my mind as much to the mechanics of the STT being levied on the premium when it comes to options, but on the notional value of the contract when it comes to futures. Actually, you have given me something to think about. As you said, it could be having the unintended consequence of reducing the hedging role of futures, which probably is playing a better role there and encouraging the speculative element. Let me think about it and also probably take back this aspect of the conversation back to my colleagues in the revenue department, in the Ministry of Finance. Thank you for that, yes.

Of great importance for the world’s most populous country.

Is Tinder actually OK?

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 published in AEJ: Applied Economics, by Berkeren Büyükeren, Alexey Makarin, and Heyu Xiong.

Saturday assorted links

1. New data on non-competes.

2. Carl Schmitt in Miami?

3. “The gesture establishes a hierarchy in which Tyler Cowen determines the hierarchy.”

4. How the spreadsheeet reshaped America.

5. What works of literature were written by the elderly?

6. The Anglosphere is ahead on AI adoption.

7. NYT obit of Trivers.

8. Aliens, demons, whatever.

9. Austin Vernon on Hormuz and its resolution through economic means.

Republican Congressional deference to Trump is in fact democratic

That does not mean it is good!  From Jeffrey M. Stonecash:

Congress is portrayed as compliant with President Donald J. Trump’s agenda because he is intimidating its members. This neglects an alternative explanation that focuses on the increased congruence of presidential and congressional electoral bases. Trump is the beneficiary of a geographical realignment that took decades and has created a high degree of overlap of the two bases. This analysis tracks that process from 1952 to 2024. It has produced a situation in which policy concerns overlap and encourage congressional compliance.

Here is the link, tekl.