The new *Pedro Páramo* translation
By Juan Rulfo, first published in 1955. The previous English-language translation was abysmal, so this is perhaps the least read piece of truly great world literature? In the English-speaking world at least. It took me a long time and a lot of effort to read this short novel in Spanish. The vocabulary is not difficult, it is simply difficult in any language to know exactly what is going on. What exactly are the borders between the living and the dead, for instance? Which character is doing what? What is Rulfo telling us about Dante? As first-tier literature should, it strains our capabilities to the utmost. A knowledge of rural Mexico helps, for sure.
García Márquez compared the work to that of Sophocles in import. Carlos Fuentes called it “the essential Mexican novel.” For me it is in the top 25 novels of all time. Susan Sontag thought it was one of the essential works of 20th century literature.
The new Douglas J. Weatherford translation is probably as good as it is going to get. The work is intrinsically difficult to translate, so try the Spanish if you can, or read the two jointly together, switching back and forth. And as they like to say in Haiti, “if you’re not confused, you don’t know what’s going on.”
Recommended, essential, and kudos to Weatherford for making this available. I’ve addended it to my favorite fiction of 2023 list.
Bob Solow, RIP
Here is Alex’s MRU video on the Solow model, one of the best things Alex has done, on the best thing Solow did. Here are previous MR mentions of Solow.
Thursday assorted links
1. The Milei deregulation announcements (in Spanish). Here is the recorded message, with subtitles.
2. “Nearly 4% of Cuba’s population reached the U.S.-Mexico border in fiscal years ‘22-23.” Link here, have you noticed that Latin America is central to the news again?
3. AI discovers a new structural class of antibiotics. And “The authors got GPT-4 to autonomously research, plan, and conduct chemical experiments, including learning how to use lab equipment by reading documentation (most were operated by code, but one task had to be done by humans)”, link here.
4. Cowen’s Second Law: “The survival time of chocolates on hospital wards: covert observational study.”
How university governance works
Penn’s board has 48 voting participants, and a further 36 longstanding emeritus members who have reached the retirement age of 70 but are still allowed to attend and speak at meetings. MIT has 74 board members, Cornell 64. Harvard has a “corporation” of 12, and then 32 overseers. Of course that is done in part to keep donors involved and perhaps also reward them. It does not lead to good governance or a strong ability to make substantive decisions.
I very much enjoyed this FT article on these themes. Faculty members are upset that their governing boards want to govern.
I almost split my gut over this part: “…said Lynn Pasquerella, president of the American Association of Colleges and Universities and former head of Mount Holyoke College. “Often people from the corporate world don’t understand the culture of collegiality, transparency and shared governance.”
It is amazing how the faculty are trying to portray themselves as the defenders of academic freedom against their boards, when over the last few decades they have been the primary enemies of academic freedom (along with staff, and sometimes students).
I do not see university faculty or administrators as being in a position to turn around the PR on this issue in their favor anytime soon.
Stephen Keese on coachability (from my email)
You wrote that sports often teaches students how to be a team member and coordinate with others. True enough, but I think there is a more important educational benefit from sports that does not require team participation or competition nor risk injury.That is learning to be coachable. Historically coaching was a fundamental part of higher education. In English universities, coaches are called tutors. Elsewhere they were/are known as mentors and guides, Being coachable or mentorable is one of the most valuable traits of students and adults, whether as a solo practitioner, group leader, or team member.
Moving to Opportunity?
But inside the lab, Chetty and his colleagues have not always practiced what their research preaches, several former employees say. When hiring for their prestigious “pre-doctoral fellowship” program, for instance, the lab uses a rubric that explicitly favors students from the very colleges that its own research has called out for reinforcing elitist systems. Opportunity Insights didn’t have its first Black pre-doc until 2021. Seven former employees who spoke to The Chronicle about their experiences were bothered by what they saw as contradictions between the lab’s practices and its stated values.
After landing the fellowship, some employees said they were also disturbed to find a culture of overwork that left them fried but feeling forced to impress in order to secure a letter of recommendation to a top Ph.D. program. For some employees, it took a toll on their health. Harvard even reviewed the lab following claims of unsustainable working hours.
That is excerpted from the (gated) Chronicle of Higher Education.
Of course I am with Chetty here, noting I have no idea how good their personnel selections are (though a priori I would be surprised if they were not very good). In any case, once again you can see the tension between the meritocratic elements of the top schools and the rhetoric they claim to live by. This is reaching an absurd point. “Culture of overwork”? C’mon people, no one has to join up. You don’t think Chetty “overworks” very very hard? Isn’t that exactly the opportunity on tap, admittedly not for everyone?
How about “feeling forced to impress in order to secure a letter of recommendation to a top Ph.D. program”? I am in fact opposed to this whole pre-doc thing, but I don’t blame Chetty and co. “Forced to impress”? On what basis are good letters supposed to be handed out? Are we not also “forced to impress” the people we want to date and marry? Do start-ups with?
Someone needs to “go the full Ayn Rand” on this whole thing. Part of the real shame is that Chetty and co. are in no real position to do that.
Wednesday assorted links
1. These people think Montana is getting too crowded.
3. Do transparent placebos work?
4. Background on Venezuela vs. Guyana.
5. Social mobility, measured across the 50 states. Utah and Minnesota take the top two spots.
Emergent Ventures winners, a new software tool
This site was created by Nabeel Qureshi, himself an EV winner, and you can use it to query the database of winners. Do you want to know which EV winners run podcasts? Work on longevity research? Live in a particular location? Just ask away.
We thank Nabeel greatly for his efforts here.
My first Paraguayan restaurant, and a test of GPT-4
That was the menu from Tal Cual!, in Buenos Aires, the first Paraguayan food I have had. I showed GPT-4 that menu and asked why there were no posted prices on it. It responded that the restaurant wanted to economize on the cost of price changes, and afterwards mentioned a fixed price menu as an alternative explanation. I then added that I was in Argentina, and would that help improve the answer any? GPT responded that high inflation was likely the reason why the restaurant might want to economize on the cost of frequent price changes. Not bad.
A fun time was had by all.
Yours truly on the “nervous Nellies”
One of my favourite @tylercowen quotes from my 2020 conversation with him:https://t.co/FvfR3avhx4
Thanks to @peterhartree for reminding me of it! pic.twitter.com/FAvZV8Fez3
— Joseph Walker (@JosephNWalker) October 25, 2021
John Stuart Mill on empirical economics and causal inference
Written by me, here is a passage from GOAT: Who is the Greatest Economist of All Time, and Why Should We Care?
A System of Logic covers many different topics, but for our purposes the most important discussion is Mill’s treatment “Of the Four Methods of Experimental Inquiry,” sometimes called “Mill’s Methods” and indeed receiving their own Wikipedia page. Mill outlines different manners in which causes and effects might be correlated, or not, and what we can infer from such patterns, and how difficult it can be to sort out actual cause and effect from the data. He refers to the “direct method of agreement,” the “method of difference,” “joint method of agreement difference,” the “method of residue,” and the “method of concomitant variations,” all as ways of trying to make correct or at least better inferences from the data.
I’ll spare you the details on the full argument, but in essence Mill was trying to figure out how to do causal inference econometrics, but with words only. That enterprise was doomed to fail, but it gives us insight into what Mill thought was by far the most important question in social science, namely causal inference when faced with complex underlying chains of cause and effect. For Mill, everything is what we would now call “an identification problem,” and this understanding is clearest in Mill’s chapters “Fallacies of Generalization” and “Fallacies of Ratiocination.” Mill also serves up a remarkably on-target discussion of how the different nature of social science problems, and their possibly greater complexity, can lead to identification problems that are not necessarily present in the natural sciences – see his chapter “Of the Chemical, or Experimental, Method in the Social Science.” That entire approach is remarkably 2020s in orientation, and you won’t find earlier history of thought books giving Mill much if any credit for this.
In a funny way, Mill was ahead of Milton Friedman in his understanding here. Friedman knew much more statistics, but in his economics he often presented causal inference as fairly straightforward. In his Monetary History of the United States, co-authored with Anna Schwartz, the reader does get the impression that the historical correlations, and ordinary least squares techniques, do in fact show that the money supply is a central driver of nominal income, given the relative stability of money demand. Later, the real business cycle theorists were to challenge that inference, and suggest that often it was income that was causing the money supply. That is a kind of complex challenge Mill seemed quite comfortable with in A System of Logic, whereas Friedman and Schwartz assigned higher power to common sense approaches to cause and effect.
Mill remains in my eyes one of the most underrated thinkers.
Tuesday assorted links
1. How Bogotá urban planning succeeded (NYT). Or did it succeed? Relative to what?
2. Claremont Review of Books book recommendations for the year.
3. Why don’t we have more innovation in how we build homes? (NYT)
4. Housing supply doesn’t change much with political party.
5. Handel’s Messiah.
Top MR Posts of 2023
This was the year of AI; including the top post from Tyler, Existential risk, AI, and the inevitable turn in human history but also highly ranked were my posts AGI is Coming and AI Worship and Tyler’s GPT and my own career trajectory. Also our paper, How to Learn and Teach Economics with Large Language Models, Including GPT has now been downloaded more than ten thousand times.
2. Second most popular post was The Extreme Shortage of High IQ Workers
5. *GOAT: Who is the Greatest Economist of all Time, and Why Does it Matter?*
6. Matt Yglesias on depression and political ideology which pairs well with another highly-ranked Tyler post, So what is the right-wing pathology then? and also Classical liberals are increasingly religious.
7. Can the SVB crisis be solved in the longer run?
8. Substitutes Are Everywhere: The Great German Gas Debate in Retrospect
9. My paean to Costco.
10. Is Bach the greatest achiever of all time?
11. The Real Secret of Blue Zones
12. SpaceX Versus the Department of Justice
13. What does it mean to understand how a scientific literature is put together?
14. In Praise of the Danish Mortgage System
15. Great News for Female Academics!
Finally, don’t forget Tyler’s posts Best non-fiction books of 2023, Favorite fiction books of 2023, and Favorite non-classical music.
What were your favorite posts/articles/books/music/movies of 2023?
Why France is underrated
That is the topic of my latest Bloomberg column, here is one bit:
Since the West European economic boom ended in the 1970s, the French civil service has been at best a mixed blessing. French administrators have gotten a lot done, reflecting their impeccable education and internal culture. But they have also helped to make the French economy overly static and too reliant on bureaucracy. A lazier, less activist civil service might have been better.
Fast forward to 2023. War and conflict are now more common on the global scene, a trend that shows no signs of abating. Populist governments are on the rise, and China and Russia are active and restless. None of those problems is easy to solve, and they all require greater involvement from the public sector. Nations with high-quality leadership and civil-service traditions will stand a better chance of navigating the turmoil.
So the bureaucracy that was once a hindrance to France may now turn out to be a comparative advantage. And at a time when governance seems to be deteriorating around the world, Macron continues to have a reputation as a relatively responsible leader.
This year has shown how this advantage plays out. Post-pandemic France has been a bit of a mix, with soaring energy prices, inflation, rising interest rates, continuation of the Ukraine war, labor strikes and protests, and a variety of European migration crises. Yet France avoided a credit downgrade and the French economy continued to create more jobs. Performance has hardly been perfect and the risk of recession remains, but France has done better than might have been expected 18 months ago.
I also consider the relatively successful French start-up scene, including in AI.
Censorship of U.S. Movies in China
We introduce a structural econometric model to estimate the extent to which the Chinese government bans U.S. movies. According to our estimates, if a movie has characteristics similar to the median movie in our sample, then the probability is approximately 0.91 that the Chinese government will ban it. During our sample period, 1994-2019, U.S. movies comprised about 28 percent of the Chinese market and sales were about $22.6 billion. However, according to our estimates, if the Chinese government had not banned any U.S. movies, then the latter numbers would have risen to 68 percent and $45.1 billion.
As for what gets banned:
…, two factors that have very high statistical significance are: (i) whether the movie contains occult content, and (ii) whether the movie
receives an R rating from the Motion Picture Association of America (MPAA). The factors also have very high substantive significance. For instance, suppose two movies, A and B, are identical except that movie A contains occult content, while B does not. Suppose movie B’s probability of being banned is 50%. Then, according to our results, the occult content in movie A causes its probability of being banned to rise to 67%. A similar thought experiment implies that, if a movie has an R rating, then this raises its probability of being banned from 50% to 70%.Three other factors seem to be important but come just short of reaching statistical significance. These are whether the movie contains themes related to (i) anti-communism, (ii) individualism, or (iii) Tibet. A fourth factor is similar. This is whether the actor Richard Gere
appears in the movie.
That is a new paper by XUHAO PAN, Tim Groseclose, and yours truly, forthcoming in the Journal of Cultural Economics.