Category: Uncategorized
Brazil fact of the day
Brazil’s productivity — the output per hour worked, crucial to raising a nation’s prosperity — grew by just 0.5 per cent annually in the four decades to 2022, according to the Getúlio Vargas Institute.
Here is more from Michael Pooler and Bryan Harris at the FT.
Open AI will partner with Arizona State University
- OpenAI on Thursday announced its first partnership with a higher education institution.
- Starting in February, Arizona State University will have full access to ChatGPT Enterprise and plans to use it for coursework, tutoring, research and more.
- The partnership has been in the works for at least six months.
- ASU plans to build a personalized AI tutor for students, allow students to create AI avatars for study help and broaden the university’s prompt engineering course.
Here is the full story. After a very brief lull, AI progress is heating up once again…
Thursday assorted links
1. Why doesn’t the Davos set sound more intelligent? (Only a partial diagnosis)
2. New and lucrative scholarships at University of Austin.
3. “What would an empirical revolution in safety research consist of?” Many would do well to heed this piece.
5. Cayalá, Guatemala (NYT).
How is AI education going to work?
That is the topic of my latest Bloomberg column. Here is the first part of the argument:
Two kinds of AI-driven education are likely to take off, and they will have very different effects. Both approaches have real promise, but neither will make everyone happy.
The first category will resemble learning platforms such as Khan Academy, Duolingo, GPT-4, and many other services. Over time, these sources will become more multimedia, quicker in response, deeper in their answers, and better at in creating quizzes, exercises and other feedback. For those with a highly individualized learning style — preferring videos to text, say, or wanting lessons slower or faster — the AIs will oblige. The price will be relatively low; Khan Academy currently is free and GPT-4 costs $20 a month, and those markets will become more competitive.
For those who want it, they will be able to access a kind of universal tutor as envisioned by Neal Stephenson in his novel The Diamond Age. But how many people will really want to go this route? My guess is that it will be a clear minority of the population, well below 50%, whether at younger or older age groups…
Chatbots will probably make education more fun, but for most people there is a limit to just how fun instruction can be.
And the second part:
There is, however, another way AI education could go — and it may end up far more widespread, even if it makes some people uneasy. Imagine a chatbot programmed to be your child’s friend. It would be exactly the kind of friend your kid wants, even (you hope) the kind of friend your kid needs. Your child might talk with this chatbot for hours each day.
Over time, these chatbots would indeed teach children valuable things, including about math and science. But it would happen slowly, subtly. When I was in high school, I had two close (human) friends with whom I often talked economics. We learned a lot from each other, but we were friends first and foremost, and the conversations grew out of that. As it turns out, all three of us ended up becoming professional economists.
This could be the path the most popular and effective AI chatbots follow: the “friendship first” model. Under that scenario, an AI chatbot doesn’t have to be more fun than spending time with friends, because it is itself a kind of friend. Through a kind of osmosis, the child could grow interested in some topics raised by the AI chatbot, and the chatbot could feed the child more information and inspiration in those areas. But friendship would still come first.
Worth a ponder.
GOAT podcast with Canadian
…the Curious Task podcast episode you recorded with Matt the other day is out now. Here are some links you could share if you would like:
Podbean: https://thecurioustask.podbean.com/e/ep-213-tyler-cowen-who-is-the-greatest-economist-of-all-time/
Apple Podcasts: https://podcasts.apple.com/ca/podcast/ep-213-tyler-cowen-who-is-the-greatest-economist-of-all-time/id1474563073?i=1000641959359
Spotify: https://open.spotify.com/episode/5kayibK4XZEnhykHunpk8U?si=qf9D6U_VSe2TYgxPtaZs3w
Matt Bufton of the (Canadian) Institute for Liberal Studies is interviewing. I was surprised not to be asked who is Canadian GOAT, maybe Robert Mundell is the obvious pick, followed by Harry Johnson and Harold Innis?
Wednesday assorted links
1. Revisionist take on why woodpeckers do not get concussions.
2. The supposed rise in U.S. maternal deaths may not be real.
3. GPT Hayek Reborn.
4. Conversation with John Gray and Peter Thiel.
6. Machine learning as a tool for hypothesis generation.
7. DeepMind making big advances in mathematics. AI-generated data too.
A congestion theory of unemployment fluctuations
Yusuf Mercan, Benjamin Schoefer, and Petr Sedláček, newly published in American Economic Journal: Macroeconomics. I best liked this excerpt from p.2, noting that “DMP” refers to the Nobel-winning Diamond-Mortensen-Pissarides search model of unemployment:
This congestion mechanism improves the business cycle performance of the DMP model considerably. It raises the volatility of labor market tightness tenfold, to empirically realistic levels. It produces a realistic Beveridge curve despite countercyclical separations. On its own, it accounts for around 30–40 percent of US unemployment fluctuations and much of its persistence. In addition, the model accounts for a range of other business cycle patterns linked to unemployment: the excess procyclicality of wages of newly hired workers compared to average wages, the countercyclical labor wedge, large countercyclical earnings losses from displacement and from labor market entry, and the long-run insensitivity of unemployment to policies such as unemployment insurance.
And by their congestion mechanism the authors mean this:
…a constant returns to scale aggregate production function that exhibits diminishing returns to new hires, a feature we call congestion in hiring.
I find that assumption plausible. It remains the case that the DMP model is grossly underrepresented in on-line writings on economics, on Twitter, and in the blogosphere. It won three Nobel Prizes, yet it also suggests that the “simple” manipulation of spending or nominal values does not automatically restore higher levels of employment.
Here are less gated versions of the paper.
How sticky are wages in nominal terms?
There is a new paper on this topic, with what seems to be very good data:
This paper examines the relationship between downward nominal wage rigidity and employment outcomes using linked
employer-employee data. Wage rigidity prevents 27.1 percent of counterfactual wage cuts, with a standard deviation of 19.2 percent across establishments. An establishment with the sample-average level of wage rigidity is predicted to have a 3.3 percentage point higher layoff rate, a 7.4 percentage point lower quit rate, and a 2.0 percentage point lower hire rate. Estimating a structural model by indirect inference implies that the cost of a nominal wage cut is 33 percent of an average worker’s annual compensation.
That is by Gabriel Ehrlich and Joshua Montes, recently published in American Economic Journal: Macroeconomics. Here are less gated versions of the paper. I found this of particular interest:
Establishments in the construction supersector display the least wage rigidity, with an average of 8.8 percent of wage cuts prevented. Establishments in the public administration and finance supersectors display the most wage rigidity, with average levels of 39.3 and 41.7 percent of wage cuts prevented, respectively.
Of course employment in the construction sector is highly cyclical, and employment in public administration often is governed by tenure, not exactly what fits best into the standard story.
Tyler Cowen on Undertone podcast
New episode with @tylercowen. We talk about Tyler's implicit theology, literature in translation, Jonathan Swift, Peter Thiel, The Sopranos, NGDP targeting and a whole lot more. Links below — pic.twitter.com/mRQyyAesa4
— dan (@dnschlz) January 15, 2024
- YouTube: https://www.youtube.com/watch?v=p-hx8Z8clI4
- Spotify: spoti.fi/47yJdK9
- Apple: https://apple.co/3S1hxI1
Dan Schulz is a very good interviewer.
Tuesday assorted links
1. My Feb.21 Arsht Center live event with Peter Thiel, “Political Theology,” register here.
2. One account of Russia’s game-theoretic strategy to come (speculative).
3. “Yemen now has more births per year than Russia, far more than Germany or Japan. In a few decades it must end up with a larger population than Russia. The future is Yemeni.” Tweet here.
5. Patrick Luciani reviews GOAT.
7. Short interview with Paul McCartney’s school teacher (1965 video). Of course he sees Paul as a regional thinker.
Shrinking populations will limit convergence
By me, from Bloomberg:
The main culprit could be the fertility crisis. In Latin America, for instance, fertility rates are coming in much lower than had been expected. Uruguay, Costa Rica, Chile, Jamaica and Cuba all have fertility rates of about 1.3. In one decade, Mexico had a 24% drop in births. Brazil, by far the region’s most populous nation, has a fertility rate of about 1.65, and those are likely to fall further. The UN had predicted Brazil’s population to be 216 million this year, but it turns out to be only 203 million. Over time, most Latin American countries can expect shrinking populations.
And:
The upshot, to put it in macroeconomic lingo, is that most underdeveloped countries will be seeing simultaneous contractions in aggregate demand and aggregate supply. That is bad news for economic growth. A national economy can deal with a smaller population, but a continuously shrinking population is very difficult.
More concretely, there will be no demographic dividend to help drive economic growth. Instead, caring for the elderly will become a major economic activity. The taxes and transfers necessary to support retirements will be an additional burden on already weak economies, which in turn may help to keep fertility rates low. Children will not become easier to afford. There could be a low-fertility trap, or even a vicious downward circle. As the young spend more time caring for their aging parents, that too may lower the number of children women wish to have.
Countries with falling populations will produce fewer inventors and entrepreneurs. Smaller domestic markets will make it harder to crack export markets. Toyota succeeded, for instance, because it first did well in Japan (a relatively populous country), and then refined the quality of its products and competed overseas. When the home market is smaller, economies of scale are more difficult and it is harder for companies to gain purchase.
Populations in these once-emerging economies may be hit harder than birth rates will indicate. After all, North America, Western Europe, Japan and South Korea have falling birth rates, too. Many of these countries will find it economically necessary to take in more immigrants, if only to pay for their retirement systems or to work as caregivers. That could be a further drain on populations in the less wealthy countries. Japan is already preparing its immigration plans.
Worth a ponder, and a worry. The upshot may be this:
It won’t be all bad: Poorer countries, like wealthier ones, will benefit from biomedical advances. And as societies age, their crime rates may fall. Yet while life in many of these countries may feel more secure, they won’t be able to follow the dynamic paths of Japan and South Korea, or even those of Greece or Portugal. Memories of radical economic growth may begin to fade, which may make it harder to reboot growth.
I thank Robin Hanson for a pointer to this topic.
Monday assorted links
2. Is deterrence failing with North Korea also?
3. How migrants seek out familiar climates.
4. “OpenAI’s GPT Store Now Offers a Selection of 3 Million Custom AI Bots.”
5. “…a Freakonomics Radio episode we just put out, called “Why Is There So Much Fraud in Academia?” … We’re all very proud of this episode, which has been in the works for a good while … You can hear it on Apple Podcasts, Spotify, or on our website, where we also publish a transcript.”
Is real estate in Roatan undervalued?
By a lot. I was briefly on the island, and also visited Próspera there (I thank my hosts for their time and efforts, and I believe Vitalia will be posting my session with them on-line, much of it covering life extension and crypto).
I have been to plenty of both Latin America and the Caribbean, and I was struck by how safe the island is. Most anything of significance is priced in dollars, and you can pay with dollars, even in small restaurants. The core language is English, although Spanish seems to be increasing rapidly, due to migration from the mainland, itself a good sign for Roatan. Population is about 100,000 on a small island, but I didn’t encounter any traffic problems. Electricity and water seemed to be reliable. The local seafood is of very high quality.
At the top end I found this home selling for over 3m. I was in Jonesville, an extremely charming small town right on the water with picture-perfect views. Here are some home and lot prices. Below 400k at the top end, something wonderfully placed for below 90k, and empty lots in the 70k range.
Much of the Caribbean I don’t find so attractive, as it can be too dry or scrubby, but Roatan is truly beautiful. The views from some parts of Próspera are among the best Caribbean views I have seen.
From conversation, I infer that better direct flight service and better facilities for private planes are holding back real estate prices in Roatan. Neither of those seem to be insurmountable problems. Maybe the Honduras label puts some people off?
For dining, by the way, eat the Garifuna offerings at Punta Gorda, such as Garifuna Living Foods.
Prompts for economists
This page contains example prompts and responses intended to showcase how generative AI, namely LLMs like GPT-4, can benefit economists.
Example prompts are shown from six domains: ideation and feedback; writing; background research; coding; data analysis; and mathematical derivations.
The framework as well as some of the prompts and related notes come from Korinek, A. 2023. “Generative AI for Economic Research: Use Cases and Implications for Economists“, Journal of Economic Literature, 61 (4): 1281–1317.
Each application area includes 1-3 prompts and responses from an LLM, often from the field of development economics, along with brief notes. The prompts will be updated periodically.
Here is the page from Jesse Lastunen.
Is the mortgage interest deduction a good idea?
I usually don’t like arguments like the one that follows, as purely short-run second best considerations tend to rub me the wrong way. Nonetheless I had never thought of it before, so I am happy to present it for our collective enlightenment:
Mortgage interest deductions and other homeownership subsidies are widely believed to be harmful because they redistribute resources from lower-income renters to higher-income homeowners. We argue that renters actually benefit from these policies in general equilibrium for two reasons. First, the rental supply curve is relatively inelastic, which means that rents fall when these policies reduce rental demand. Second, many renters spend most of their income on housing, and these renters gain substantially from rent decreases. We calibrate a quantitative model to match empirical evidence on these factors and show they are strong enough that subsidizing homeownership actually increases welfare.
That is from a newly published article by Shahar Rotberg and Joseph B. Steinberg. Via the excellent Kevin Lewis.