Category: Uncategorized

Letters of recommendation

We analyze 6,400 letters of recommendation for more than 2,200 economics and finance Ph.D. graduates from 2018 to 2021. Letter text varies significantly by field of interest, with significantly less positive and shorter letters for Macroeconomics and Finance candidates. Letters for female and Black or Hispanic job candidates are weaker in some dimensions, while letters for Asian candidates are notably less positive overall. We introduce a new measure of letter quality capturing candidates that are recommended to “top” departments. Female, Asian, and Black or Hispanic candidates are all less likely to be recommended to top academic departments, even after controlling for other letter characteristics. Finally, we examine early career outcomes and find that letter characteristics, especially a “top” recommendation have meaningful effects on initial job placements and journal publications.

That is from a new paper by Beverly Hirtle and Anna Kovner.  Via the excellent Kevin Lewis.

The economics of haunted houses

Running a haunted house can be a risky—if not scary—business. The barrier to entry is high, the overhead costs can be massive, and the attractions have just one very vulnerable month to earn their money. Like many other small businesses, 60% of them don’t make it past their third year, according to haunted-house review company and directory Scare Factor. Most operators have to keep their day jobs or do side hustles to make ends meet.

“The most successful haunts, the ones that last more than three years, are full-on destinations rather than a 20-minute attraction,” says Scare Factor co-owner Nora Proffet. “Haunters are competing with all other forms of entertainment, and visitors want to spend the whole evening having fun.”

In the past few years, that has meant adding food trucks, ax throwing, bars and escape rooms, Proffet says. Many attractions also create special events—whether scary or not—for Christmas and Valentine’s Day.

Over the past nine years, LaFlamboy—who has been a part of more than a dozen haunted attractions, most not as successful as HellsGate—has added numerous flourishes to lure people to his haunted attraction. Customers can now visit a midway with bonfires, food concessions, two bars, a free photo booth, an escape room, a gift shop and giant movie screen, and roaming actors—playing various creatures—to take selfies.

And:

A National Retail Federation survey showed that approximately 18% of U.S. adults visited a haunted attraction last year, or about 46.5 million people. The Halloween and Costume Association says that haunted houses are a $500 million industry.

That money is split among a relatively small number of attractions. According to Scare Factor, the U.S. is home to 2,100 for-profit haunted attractions—that is around double the number in the 1990s—plus an estimated 1,000 not-for-profit ones, which include pop-ups in cornfields.

Here is more from Heidi Mitchell at the WSJ, via Patrick Moloney.

Acemoglu, Johnson and Robinson Win Nobel Prize for Institutions and Prosperity

The Nobel prize goes to Daron Acemoglu, Simon Johnson and James Robinson for their work on institutions, prosperity, and economic growth. Here is a key piece summarizing their work: Institutions as a Fundamental Cause of Long-Run Growth.

This paper develops the empirical and theoretical case that differences in economic institutions are the fundamental cause of differences in economic development. We first document the empirical importance of institutions by focusing on two “quasi-natural experiments” in history, the division of Korea into two parts with very different economic institutions and the colonization of much of the world by European powers starting in the fifteenth century. We then develop the basic outline of a framework for thinking about why economic institutions differ across countries. Economic institutions determine the incentives of and the constraints on economic actors, and shape economic outcomes. As such, they are social decisions, chosen for their consequences. Because different groups and individuals typically benefit from different economic institutions, there is generally a conflict over these social choices, ultimately resolved in favor of groups with greater political power. The distribution of political power in society is in turn determined by political institutions and the distribution of resources. Political institutions allocate de jure political power, while groups with greater economic might typically possess greater de facto political power…Economic institutions encouraging economic growth emerge when political institutions allocate power to groups with interests in broad-based property rights enforcement, when they create effective constraints on power-holders, and when there are relatively few rents to be captured by power-holders.

See this great MRU video on Institutions for a quick overview! Here from an interview with Acemoglu, is a slightly more pointed perspective. Politics keeps people poor:

Why is it that certain different types of institutions stick?….it wouldn’t make sense, in terms of economic growth, to have a set of institutions that ban private property or create private property that is highly insecure, where I can encroach on your rights. But politically, it might make a lot of sense.

If I have the political power, and I’m afraid of you becoming rich and challenging me politically, then it makes a lot of sense for me to create a set of institutions that don’t give you secure property rights. If I’m afraid of you starting new businesses and attracting my workers away from me, it makes a lot of sense for me to regulate you in such a way that it totally kills your ability to grow or undertake innovations.

So, if I am really afraid of losing political power to you, that really brings me to the politics of institutions, where the logic is not so much the economic consequences, but the political consequences. This means that, say, when considering some reform, what most politicians and powerful elites in society really care about is not whether this reform will make the population at large better off, but whether it will make it easier or harder for them to cling to power.

Those are the sort of issues that become first-order if you want to understand how these things work.

One interesting aspect of this year’s Nobel is that almost all of AJRs Nobel work is accessible to the public because it has come primarily through popular books rather than papers. The Economic Origins of Dictatorship and Democracy, Why Nations Fail, and the The Narrow Corridor all by Acemoglu and Robinson and Power and Progress by Acemoglu and Johnson are all very readable books aimed squarely at the general public. The books are in many ways deeper and more subtle than the academic work which might have triggered the broader ideas (such as the famous Settler Mortality paper). Many of the key papers such as Reversal of Fortune are also very readable.

This is not to say that the authors have not also made many technical contributions to economics, most especially Acemoglu. I think of Daron Acemoglu (GS) as the Wilt Chamberlin of economics, an absolute monster of productivity who racks up the papers and the citations at nearly unprecedented rates. According to Google Scholar he has 247,440 citations and an H-index of 175, which means 175 papers each with more than 175 citations. Pause on that for a moment. Daron got his PhD in 1992 so that’s over 5 papers per year which would be tremendous by itself–but we are talking 5 path-breaking, highly-cited papers per year plus many others! (Of course, most written with excellent co-authors). In addition, he’s the author of a massive textbook on economic growthMore than any other economist Daron has pushed the cutting-edge of technical economics and has also written books of deep scholarship still accessible to the public. In his overview of Daron’s work for the John Bates Clark medal Robert Shimer wrote “he can write faster than I can digest his research.” I believe that is true for the profession as a whole. We are all catching-up to Daron Acemoglu.

Indeed, in reading a book like Why Nations Fail and papers like The Network Origins of Aggregate Fluctuations (one of my favorite Acemoglu papers) and The Uniqueness of Solutions for Nonlinear and Mixed Complementarity Problems it’s difficult to believe they are co-authored by the same person. Acemoglu is as comfortable talking history, politics, and political economy as he is talking about the economics of recessions and abstruse mathematics.

Here are Previous MR posts on Daron Acemoglu including this post on democracy where I find the effect of democracy on growth to be ho-hum. Here is Maxwell Tabarrok on Acemoglu on AI. Here is Conversations with Tyler with Acemoglu and a separate conversation with Simon Johnson.

As noted, one of my favorite Acemoglu papers (with Carvalho, Ozdaglar, and Tahbaz-Salehi) is The Network Origins of Aggregate Fluctuations. Conventional economics models the aggregate economy as if it were a single large firm. In fact, the economy is a network. An auto plants needs steel and oil to operate so fluctuations in the steel and oil industry will influence production in the auto industry. For a long time, the network nature of production has been ignored. In part because there are some situations in which a network can be modeled as if it were a single firm and in part because it’s just much easier to do the math that way. Acemoglu et al. show that aggregate fluctuations can be generated by sector fluctuations and that organization of the network cannot be ignored. This is a modern approach to real business cycles. See also my post on Gabaix and granular fluctuations).

In recent work, Acemoglu and Restrepo have created a new way of modeling production functions which divides work into tasks, some of which are better performed by capital and others by labor. Technological change is not simply about increasing the productivity of labor or capital (modeled in standard economics as making one laborer today worth two of yesterday’s) but about changing which tasks can best be done by capital and which by labor. As a task moves from labor to capital the demand for labor falls but productivity increases which generates demand for other kinds of labor. In addition, as capital replaces labor in some tasks entirely new tasks may be created for which labor has a comparative advantage. A number of interesting points come out of this including the idea that what we have to fear most is not super-robots but mediocre-robots. A super-robot replaces labor but has an immense productivity advantage which generates wealth and demand for labor elsewhere. A mediocre-robot replaces the same labor but doesn’t have a huge productivity advantage. In an empirical breakdown, Acemoglu and Restrepo suggest that what has happened in the 1990s and especially since 2000 is mediocre-robots. As a result, there has been a decline in labor on net. Thus, Acemoglu is more negative than many economists on automation, at least as it has occurred recently. Acemoglu and Restrepo is some of the best recent work going beyond the old tired debates to reformulate how we think of production and to use that reformulation to tie those reformulations to what is actually happening in the economy.

Solow thought of technical change as exogenous which is still the first-pass approach to thinking about technical change. Acemoglu in contrast focuses on price and market size. In particular, the larger the market the greater the incentive to invest in R&D to serve that market (see also my TED talk). Thus, technical change will tend to be cumulative. A sector with a productivity improvement will grow which can make that sector even more remunerative for further technical advances (depending on elasticities). This matters a lot for environmental change because it suggests that a relative small intervention today–including subsidizing research on clean technologies–can have a huge payoff in the future because by directing technical change in the right direction you make it easier to switch later on. (from this interview)

But let’s think of the logic of directed technical change with cumulative research. The less we do on green technology today, the less knowledge is accumulated in the green sector, so the bigger is the gap between fossil-fuel-based technology and energy, and the cleaner energy, so the harder it will be in the future to close that gap. With more proactive, decisive action today, we already start closing the gap, and we’re making it easier to deal with the problem in the future.

Simon Johnson has also written important books on banking and finance including White House Burning: Our National Debt and Why It Matters to You and that was before the big run up in American debt! James Robinson has written widely on African development and colonialism and African development more generally.

Overall, I’d say that this is an award for political science and for popular economics in the very best sense of economics that matters. Go buy their books and read them!

What surprised you the most this year?

What has surprised you the most this year?

The development of decentralized training for AI models, from DiLoCo and DiPaCo from Google DeepMind to Distro coming up from Nous Research. It completely changes the game in terms of how we ought to think about large models and what we can do to train them. This means pure compute thresholds are not going to be very useful, and that we will have even less of a way to centrally control the means of knowledge production.

That is from Rohit Krishnan, who answers other questions as well.  Interviewed by Derek Robertson, via Mike Doherty.

How to allocate space rights?

One alternative approach, I’ve argued, would be to establish a framework to enable individuals and groups to acquire time-limited conditional legal property rights to plots of spaceland, on a Georgist-inspired market system (Lowe, 2022a, 2022b). On my approach, competitors would keep the full profit they made from the permissible use of their plots but competition for the temporary ownership of these plots would consist in paying ‘rent’, the rate of which would vary depending on supply and demand, and would be partially rebated in relation to the meeting of various conditions inspired by the Lockean property provisos of ‘enough and as good’ (e.g. if the use of spaceland contributed to poverty alleviation) and ‘spoilage’ (e.g. if the use of spaceland contributed to conservation efforts). This rent would be paid into a fund administered to enable an increasing number of individuals and groups to compete for plots, through investment in space innovation.

That is from a new article by Rebecca Lowe, on the economic value of space.  The citations are:

Lowe, R. (2022a). Space Invaders: Property Rights on the Moon. Adam Smith Institute. https://www.adamsmith.
org/research/space-invaders
Lowe, R. (2022b). Space is an opportunity to rethink property rights. Reason, December, https://reason.com/
2022/11/15/space-is-an-opportunity-to-rethink-property-rights/

The costs of U.S: tariff imposition

We use an advanced model of the global economy to consider a set of scenarios consistent with the proposal to impose a minimum 60% tariff against Chinese imports and blanket minimum 10% tariff against all other US imports. The model’s structure, which includes imperfect competition in increasing-returns industries, is documented in Balistreri, Böhringer, and Rutherford (2024). The basis for the tariff rates is a proposal from former President Donald Trump (see Wolff 2024). We consider these scenarios with and without symmetric retaliation by our trade partners. Our central finding is that a global trade war between the United States and the rest of the world at these tariff rates would cost the US economy over $910 billion at a global efficiency loss of $360 billion. Thus, on net, US trade partners gain $550 billion. Canada is the only other country that loses from a US go-it-alone trade war because of its exceptionally close trade relationship with the United States.

Ouch! That is from Edward J. Balistreri and Christine McDaniel, in their recent study.

That was then, this is now…

Oil companies are conveying an unlikely message to the GOP and its presidential candidate: Spare President Biden’s signature climate law. At least the parts that benefit the oil industry.

In discussions with former President Trump’s campaign and his allies in Congress, oil giants including Exxon MobilPhillips 66, and Occidental Petroleum have extolled the benefits of the Inflation Reduction Act. Many in the fossil-fuel industry opposed the law when it passed in 2022 but have come to love provisions that earmark billions of dollars for low-carbon energy projects they are betting on.

Some executives in the largely pro-Trump oil industry are worried the former president, if re-elected, would side with conservative lawmakers who want to gut the IRA. They fear losing tax credits vital for their investments in renewable fuel, carbon capture and hydrogen, costly technologies requiring U.S. support to survive their early years.

Here is more from the WSJ.

Saturday assorted links

1. Ross Douthat on late term abortion (NYT).

2. That’s a lot of AI subscriptions.  Somehow I found that link hilarous.

3. Centre Pompidou outpost in…New Jersey?

4. Poland to suspend asylum rights temporarily.

5. Michael Pettis profile (WSJ…p.s. prices are flexible in the medium-term).

6. Another case of qualified scientists getting actual public policy massively wrong due to their naivete and bias and lack of experience.

Dario Amodei on AI and the optimistic scenario

Here is a longish essay, here is one excerpt:

Economists often talk about “factors of production”: things like labor, land, and capital. The phrase “marginal returns to labor/land/capital” captures the idea that in a given situation, a given factor may or may not be the limiting one – for example, an air force needs both planes and pilots, and hiring more pilots doesn’t help much if you’re out of planes. I believe that in the AI age, we should be talking about the marginal returns to intelligence7, and trying to figure out what the other factors are that are complementary to intelligence and that become limiting factors when intelligence is very high. We are not used to thinking in this way—to asking “how much does being smarter help with this task, and on what timescale?”—but it seems like the right way to conceptualize a world with very powerful AI.

I view human imperfections, and current institutional and legal constraints as more binding than Dario does, and thus I think speeds of progress will be lower than he does. But there is much in his essay I agree with.

Matt Yglesias on regulation and deregulation

…it’s notable that if you look at the major deregulator measures of the past four years, it mostly happened under Jimmy Carter (Natural Gas Policy Act of 1978, Airline Deregulation Act of 1978, Motor Carrier Act of 1980, Depository Institutions Deregulation and Monetary Control Act of 1980) or Bill Clinton (Interstate Banking and Branching Efficiency Act of 1994, Telecommunications Act of 1996, Graham-Leach-Bliley Act of 1999) rather than Reagan. What Reagan did was cut taxes, staff the agencies with business-friendly appointees, and build the power of the conservative legal movement. Similarly, George W. Bush cut taxes, staffed the agencies with business-friendly appointees, and built the power of the conservative legal movement. Donald Trump, who in some ways represented a conceptual break with the Reagan-Bush political tradition, also cut taxes, staffed the agencies with business-friendly appointees, and built the power of the conservative legal movement.

That’s what Republican presidents do. Deregulatory efforts tend to happen when market-oriented thinkers persuade some prominent Democrats that they’re right about something, and then bipartisan deals get made. Also note that there’s something funny about the extent to which Carter has become retroactively famous for legalizing home brewing rather than, say, the natural gas thing, which legitimately transformed the national and global economy.

Here is the whole post (gated), with other interesting points as well.

Friday assorted links

1. My podcast with Minus One.

2. Why are fewer men going to college?

3. Warren Nutter’s Soviet research for the CIA.

4. Those new service sector jobs: “This Texas Mom Charges Over $1,000 for Her Elaborate Pumpkin Displays.”

5. Pizza Hut Will Deliver Your Resume Printed on a Pizza Box to Prospective Employers (NYC only).

6. “While influencers occasionally go viral, their career progression depends largely on consistent effort.

7. All Scott Sumner movie reviews, in one place.