EconLit

Research on Big Questions April 2025

Joy Buchanan2 Comments

I’m working on a new paper with Bart Wilson. We might have a draft to release soon.

  1. https://economistwritingeveryday.com/2023/03/25/discrepancy-in-views-about-music-pirating/  In that post, I pointed out that the estimates reported in journals for the effect of pirating on music revenues range from almost 0% to almost 100%. There is room for new empirical work. Not often is the range of the estimates that big.
  2. My coauthor Bart Wilson did an interesting podcast episode for the Curious Task in 2020.

https://thecurioustask.podbean.com/e/ep-64-bart-wilson-%e2%80%94-is-the-idea-of-property-universal/

Episode: Bart Wilson — Is The Idea of Property Universal? 

I’m providing a rough transcription of the part that stood out to me, because he identified a prime big unanswered question. This is around minute 7 of the episode.

Host: Why is [the Property Species] an interesting topic deserving of a book?

Bart Wilson: “So, I work with primatologists… and I would talk to them about what I’m working on with my laboratory experiments on property. They would say, ‘Oh yeah. Dolphins do that, too, or baboons. … scrub jays re-cache their food if another scrub jay is watching them so they are protecting themselves against theft… so property is all over the animal kingdom. And then I’m also working with my colleague in the English department. In the humanities, property is a very narrow thing, something Western European. It’s very modern. And, so, in one part of the academy property is this broadly natural phenomenon and in another part of the academy it’s very local: only some humans have it. And so, as a social scientist…”

Bart identified a gap in understanding. Property cannot be both common to all animals and rare among humans. In his book The Property Species he spans that gap by claiming (spoiler alert) that property is common to all humans and only humans. Human language is an important piece of that story. No other animal can wield complex symbolic language.

In our new paper (manuscript forthcoming) we’ll be investigating how humans use symbolic language to describe nonrivalrous digital resources.

Trump’s National Sales Tax

James Bailey1 Comment

Tariffs are going up to levels last seen in the 1930 Smoot-Hawley tariffs that helped kick off the Great Depression:

Tariffs are taxes- roughly, a national sales tax with an exemption for domestically-produced goods and services. I think the words make a difference here- “raising tariffs on countries who we run a trade deficit with” just sounds abstruse to most people, while “raising taxes on goods bought from firms in net-seller countries” sounds negative, but they are the same thing.

Of course, in this case the plan is to raise taxes to at least 10% on goods from all other countries even if they aren’t net-sellers, and raise taxes up to 49% on those that are. This is not a negotiating tactic. We know this from the math- the new tax formula uses net imports from a country rather than a country’s tariff rates, so a country could cut their tariffs on US goods to zero today and it wouldn’t necessarily reduce our “reciprocal” tariffs at all; at best it would reduce them to 10%. We also know it isn’t about negotiating because the administration says it isn’t. Their goal, obviously, is to reduce trade, not to free it.

They say they are doing this to bring manufacturing back to America and to promote national defense. But American manufacturers don’t seem happy. Even before the latest huge tax increase, trade war was their biggest concern:

The National Association of Manufacturers Q1 2025 Manufacturers’ Outlook Survey reveals growing concerns over trade uncertainties and increased raw material costs. Trade uncertainties surged to the top of manufacturers’ challenges, cited by 76.2% of respondents, jumping 20 percentage points from Q4 2024 and 40 percentage points from Q3 of last year.

The National Association of Manufacturers responded to the latest tax increase with a negative statement; so even the one major group that might have benefitted from tariffs is unhappy. Foreign producers and US consumers will of course be very unhappy. I think Trump is making a huge political blunder alongside the economic one- he got elected largely because Biden allowed inflation to get noticeably high, but now Trump is about to do the same thing.

I also see this as a huge national security blunder. For tariffs on China, I at least see their argument- we should take an economic hit today in order to become less reliant on our peer-competitor and potential adversary. But the tariffs on allies make no sense- they are hitting the very countries that are most valuable as economic and/or military partners in a conflict with China, like Canada, Mexico, Japan, South Korea, Vietnam, India, and Taiwan (!!!). One of our biggest advantages vs. China has been that we have many allies and they have few, and we appear to be throwing away this advantage for nothing.

What can you or I do about this? Stock up on durable goods before the price increases hit. Picking investment winners is always hard, but things this makes me consider are gold, stocks in foreign countries that trade little with the US, and companies whose stocks took a big hit today despite not actually being importers. Finally, we can try nudging Congress to do something. The Constitution gives the power to levy taxes to the legislative branch, but in the 20th century they voted to delegate some of this power to the executive. Any time they want, Congress could repeal these tariffs and take back the power to set rates. I have some hope they actually will- just yesterday the Senate voted to repeal some tariffs on Canada, and more votes are planned. The alternative is to risk a recession and a wipeout in the midterms:

Hospitals Remain Full Even as Covid Subsides

James Bailey1 Comment

The average hospital is now 3/4 full- more full than during much of the worst of the Covid pandemic, and well above the 2/3 occupancy rate that prevailed during the 2010s. This is according to a study out yesterday in JAMA Open:

This seems to be due to a reduction in bed supply, rather than an increase in demand:

The number of staffed hospital beds declined from a prepandemic steady state of 802 000 (2009-2019 mean) to a post-PHE steady state of 674 000, whereas the mean daily census steady state remained at approximately 510 000

To me this is one more reason to reform Certificate of Need laws that put barriers in the way of hospitals opening or adding beds. Luckily I see a lot of momentum for CON reform this legislative season, including the highest-occupancy state, Rhode Island:

The Big Ideas

James Bailey2 Comments

Do I really think that the things I write about here and in my papers are the most important things in the world? No. Like most academics, I tend to emphasize the issues where I think I bring a unique perspective, rather than most important issues. But if you don’t realize this, you might get the impression that I think the things I normally talk about are the most important, rather than simply the most neglected and tractable / publishable. I don’t work on the most important issues because I see no good way for me to attack them- but if you do see a way, that is where you should focus. So what are the big issues of the 2020’s?

I see two issues that stand out above the many other important events of the day:

  • Artificial Intelligence: At minimum, the most important new technology in a generation; has the potential to bring about either utopia or dystopia. Do you have ideas for how to nudge it one way or another?
  • Rise of China: From extreme poverty to the world’s manufacturing powerhouse in two generations. What lessons should other countries learn from this for their own economic policy? How can we head off a world war and/or Chinese hegemony?

Focusing a bit more on economics, I see two perennial issues where there could be new opportunities to solve vital old questions:

  • Economic Development: We still don’t have a definitive answer to Adam Smith’s founding question of economics- why are some countries rich while other countries are poor, and how can the poor countries become rich? I think economic freedom is still an underrated answer, but even if you agree, the question remains of how to advance freedom in the face of entrenched interests who benefit from the status quo.
  • Robust Prediction: How can we make economics into something resembling a real science, one where predictions that include decimal places don’t deserve to be laughed at? Can you find a way to determine how much external validity an experiment has? Or how to use machine learning to get at causality? Or at least push existing empirical research to be more replicable?

I’ve added these points to my ideas page, since all this was inspired by me talking through the ideas on the page with my students and realizing how small and narrow they all seemed. Yes, small and narrow ideas are currently easier to publish in economics, but there is more to research and life than easy publications.

A Wartime Natural Experiment About Copyright

Joy Buchanan2 Comments

One of the hardest questions in copyright policy is: “What would have happened otherwise?” When Disney lobbies for longer copyright terms or academic publishers defend high subscription fees, we struggle to evaluate their claims because we can’t observe the counterfactual. What would happen to creativity and innovation if we shortened copyright terms or lowered prices?

This is what makes Biasi and Moser’s 2021 study in the American Economic Journal: Microeconomics valuable. They examine a rare “natural experiment” from World War II – the Book Republication Program (BRP) – which provides insights into how copyright affects the spread and use of knowledge.

In 1942, the U.S. government allowed American publishers to reprint German scientific books without seeking permission from German copyright holders (though royalties were still paid to the U.S. government). This created a test case: German books suddenly became cheaper, while similar Swiss scientific books (Switzerland being neutral in the war) maintained their original copyright protection and prices.

This setup lets us answer the counterfactual question. What happens when you maintain basic royalty payments but prevent monopoly pricing? The researchers compared the same book before and after the policy change, German books versus Swiss books, areas near libraries with these books versus those without, and usage by English-speaking scientists versus others. Such comprehensive comparison groups are rarely available in copyright research.

The authors report that when book prices fell by 10%, new research citing these books increased by 40%. The benefits spread beyond elite institutions, with new research clusters emerging wherever scientists gained access to these books. This does not appear to just be shifting citations from one source to another – there was genuine new knowledge creation, evidenced by increased patents and PhD production.

Such clean natural experiments in copyright policy are rare (there are a few laboratory experiments). Most changes come from lobbying (like the “Mickey Mouse Protection Act”) or technological disruption (like music streaming), making it hard to isolate the effects of copyright itself. The BRP provides uniquely clear evidence that moderate copyright protection – rather than maximum protection – might better serve innovation.

As we debate copyright terms and academic paywalls today, this historical accident of war gives us something valuable: empirical evidence about what happens when you find a middle ground between total copyright protection and unrestricted access.

Biasi, Barbara and Petra Moser. 2021. “Effects of Copyrights on Science: Evidence from the WWII Book Republication Program.” American Economic Journal: Microeconomics, 13 (4): 218–60.

What I Learned from Erwin Blackstone

James Bailey4 Comments

I’m told that Professor Erwin Blackstone died earlier this year, but I haven’t been able to find anything like an obituary online; consider this a personal memorial.

I knew Dr. Blackstone first as the professor of my Industrial Organization class at Temple University, where he taught since 1976. He was a model of how to take students seriously and treat them respectfully; he always called on us as “Mr./Ms. Last Name” and thought carefully about our questions.

Of course I learned all sorts of particular things about IO, especially US antitrust law and history- from Judge Learned Hand and baseball’s antitrust exemption to current merger guidelines and cases. I would later ask Dr. Blackstone to join my thesis committee, where he would heavily mark up my papers with comments and critiques.

He was a key part of how I was able to become a health economist despite the fact that Temple lacked a true health economist on the tenure-track economics faculty while I was there (as opposed to IO or labor economists who did some health). Blackstone’s coauthor Joseph Fuhr– a true health economist who also had Blackstone on the committee of his 1980 dissertation- came part-time to teach graduate health economics. Blackstone and Fuhr worked together to write the health economics field exam I took.

Finally, I learned from Blackstone by reading his papers. While he wrote many on health economics, my personal favorite was his work with Andrew Buck and Simon Hakim on foster care and adoption. It convincingly demonstrated the problems of having one fixed price in an area that most people don’t think about as a “price” at all- adoption fees. Having one fairly high fee for all children means the few seen as most desirable by adopting parents (typically younger, whiter, healthier) get adopted quickly, while those seen as less desirable by would-be adoptive parents linger in foster care for years. Like much of his work, it pairs a simple economic insight with a rich explanation of the relevant institutional details.

Academics hope to live on through our work- through our writing and the people we taught. Having taught many thousands of students at Cornell, Dartmouth, and Temple over 55 years, served on dozens of dissertation committees, and published over 50 papers and several books, I expect that it will be a long, long time before Erwin Blackstone is forgotten.

Source: Academic Tree. Charles Franklin Dunbar founded the Quarterly Journal of Economics in 1886.

Predicting College Closures: Now with Machine Learning

James Bailey4 Comments

Small, rural, private schools stand out to me as the most likely to show up on lists of closed colleges. This summer I discussed a 2020 paper by Robert Kelchen that identified additional predictors using traditional regression:

sharp declines in enrollment and total revenue, that were reasonably strong predictors of closure. Poor performances on federal accountability measures, such as the cohort default rate, financial responsibility metric, and being placed on the most stringent level of Heightened Cash Monitoring

Kelchen just released a Philly Fed working paper (joint with Dubravka Ritter and Doug Webber) that uses machine learning and new data sources to identify more predictors of college closures:

The current monitoring solution to predicting the financial distress and closure of institutions — at least at the federal level — is to provide straightforward and intuitive financial performance metrics that are correlated with closure. These federal performance metrics represent helpful but suboptimal measures for purposes of predicting closures for two reasons: data availability and predictive accuracy. We document a high degree of missing data among colleges that eventually close, show that this is a key impediment to identifying institutions at risk of closure, and also show how modern machine learning algorithms can provide a concrete solution to this problem.

The paper also provides a great overview of the state of higher ed. The sector is currently quite large:

The American postsecondary education system today consists of approximately 6,000 colleges and universities that receive federal financial aid under Title IV of the federal Higher Education Act…. American higher education directly produces approximately $700 billion in expenditures, enrolls nearly 25 million students, and has approximately 3 million employees

Falling demand from the demographic cliff is causing prices to fall, in addition to closures:

Between the early 1970s and mid-2010s, listed real tuition and fee rates more than tripled at public and private nonprofit colleges, as strong demand for higher education allowed colleges to continue increasing their prices. But since 2018, tuition increases have consistently been below the rate of inflation

Most college revenue comes from tuition or from state support of public schools; gifts and grants are highly concentrated:

Research funding is distributed across a larger group of institutions, although the vast majority of dollars flows to the 146 institutions that are designated as Research I universities in the Carnegie classifications…. Just 136 colleges or university systems in the United States had endowments of more than $1 billion in fiscal year 2023, but they account for more than 80 percent of all endowment assets in American higher education. Going further, five institutions held 25 percent of all endowment assets, and 25 institutions held half of all assets

Now lets get to closures. As I thought, size matters:

most institutions that close are somewhat smaller than average, with the median closed school enrolling a student body of about 1,389 full-time equivalent students several years prior to closure

As does being private, especially private for-profit (states won’t bail you out when you lose money):

As do trends:

variables measuring ratios of financial metrics and those measuring changes in covariates are generally more important than those measuring the level of those covariates

When they throw hundreds of variables into a machine learning model, it can predict most closures with relatively few false positives, though no one variable stands out much (FRC is Financial Responsibility Composite):

My impression is that the easiest red flag to check for regular people who don’t want to dig into financials is “is total enrollment under 2000 and falling at a private school”.

They predict that the coming Demographic Cliff (the falling number of new 18-year-olds each year) will lead to many more closures, though nothing like the “half of all colleges” you sometimes hear:

The full paper is available ungated here. I’ll close by reiterating my advice from the last post: would-be students, staff, and faculty should do some basic research to protect themselves as they consider enrolling or accepting a job at a college. College employees would also do well to save money and keep their resumes ready; some of these closures are so sudden that employees find out they are out of a job effective immediately and no paycheck is coming next month.

We’ve Got You Covered

James Bailey1 Comment

That’s the title of a recent book by Liran Einav and Amy Finkelstein, subtitled “Rebooting American Health Care”. I reviewed the book for Independent Review; the short version of my review is that while I don’t agree with all of their policy proposals, the book makes for an engaging, accurate, and easily readable introduction to the current US health care system. Here’s the start of the review:

Liran Einav and Amy Finkelstein are easily two of the best health economists of their generation. They have each spent twenty years churning out insightful papers published in the top economics journals. As a young health economist, I would read their papers and admire how well they addressed the technical issues at hand, but I was always left wondering what they thought about the big picture of health care in the United States….

The book’s prologue describes how Finkelstein’s father-in-law finally bullied her into writing on the topic, using almost the exact words I always wanted to: “I know these are hard issues. But come on … You’ve been studying them for twenty years. You must be one of the best placed people to help us understand the options. Do you really have nothing to say on this topic?”

The conclusion:

I learned a lot reading the book, despite having already studied U.S. health financing for over a decade—for instance, that the first compulsory health insurance program in the U.S. was a 1798 law pushed by Alexander Hamilton to cover foreign sailors. While the authors are more used to writing math-heavy academic papers, We’ve Got You Covered reads like the popular press book it is. Perhaps the highest endorsement comes from a non-academic family member of mine who picked up the book and noted, “These are not dry writers … this doesn’t sound like a book written by economists, no offense.”

The full review is free here, the book is for sale here.

The Laboratory of the States: Regulatory Reform Edition

James BaileyLeave a comment

The US Federal government has been considering major reforms like the REINS Act, which would require Congressional approval of major regulations proposed by executive branch agencies, or bringing back the “two in one out” rule from the first Trump administration. What would these do?

Right now it’s hard to say much for sure. But similar reforms have already been implemented in the states; as usual, the states provide a laboratory for investigating how policies work and whether they deserve broader adoption. It’s especially valuable to inform the debate over reforms like the REINS act that are still being considered at the federal level. Even for federal reforms that have already happened, it can be easier to evaluate the state version, since states make better control groups for each other than other countries do for the US.

But so far we’ve mostly been ignoring our laboratory results from recent state regulatory reforms. For instance, Broughel, Baugus, and Bose (2022) released a dataset that could be used to evaluate state regulatory reforms, but it has only been cited 3 times. This is why I’m adding this to my ideas page as a good subject for future academic research.  Do state REINS or Red Tape Reduction Acts actually reduce either the stock or flow of regulation? If so, which types of regulations are affected, and does this have any effect on downstream measures like economic growth or new business formation?

Any research along these lines could help inform policy debates in the states, as well as for a new Presidential administration coming in with hopes of boosting economic growth through deregulation.

HT: Adam Millsap

Effort Transparency and Fairness Published at Public Choice

Joy BuchananLeave a comment

Please see my latest paper, out at Public Choice: Effort transparency and fairness

The published version is better, but you can find our old working paper at SSRN “Effort Transparency and Fairness”

Abstract: We study how transparent information about effort impacts the allocation of earnings in a dictator game experiment. We manipulate information about the respective contributions to a joint endowment that a dictator can keep or share with a counterpart…

Employees within an organization are sensitive to whether they are being treated fairly. Greater organizational fairness is shown to improve job satisfaction, reduce employee turnover, and boost the organization’s reputation. To study how transparent information impacts fairness perceptions, we conduct a dictator game with a jointly earned endowment. 

The endowment is earned by completing a real effort task in the experiment, an analog to the labor employees contribute to employers. First, two players work independently to create a pool of money. Then, the subject assigned the role of the “dictator” allocates the final earnings between them.

In the transparent treatment, both dictators and recipients have access to complete information about their own effort levels and contributions, as well as those of their counterparts. In the non-transparent treatment, dictators have full information about the relative contributions of both players, but recipients do not know how much each person contributed to the endowment. The two treatments allow us to compare the behaviors of dictators who know they could be judged and held to reciprocity norms with dictators who do not face the same level of scrutiny.

*drumroll* results:

This graph shows the amount of money the dictators take from the recipient contribution, in cents.  There are two ways to look at this. Notice the spike next to zero. Most dictators do not take much from what their counterpart earned. They are *dictators*, meaning they could take everything. Most take almost nothing, regardless of the treatment. We interpret this to mean that they are acting out of a sense of fairness, and we apply a humanomics framework to explain this in the paper.

Also, there is significantly more taken in non-transparency. When the worker does not have good information on the meritocratic outcome, then some dictators feel like they can get away with taking more. Some of this happens through what we call “shading down” of the amount sent by the dictator under the cover of non-transparency.

There is more in the paper, but the last thing I’ll point out here is that the “worker” subjects (recipients) anticipate that this will happen. The recipients forecast that the dictator would take more under non-transparency. In our conclusion, we mention that, even though the dictator seems to be at an advantage in a non-transparent environment, the dictator still might choose a transparency policy if it affects which workers select into the team.

View and download your article*   This hyperlink is good for a limited number of free downloads of my paper with Demiral and Saglam, says Springer the publisher. Please don’t waste it, but if you want the article I might as well put it out there. I posted this on 11/2/2024, so there is no guarantee that the link will work for you.

Cite our article: Buchanan, J., Demiral, E.E. & Sağlam, Ü. Effort transparency and fairness. Public Choice (2024). https://doi.org/10.1007/s11127-024-01230-9