Category: Economics
A new paper on the economics of AI alignment
A principal wants to deploy an artificial intelligence (AI) system to perform some task. But the AI may be misaligned and pursue a conflicting objective. The principal cannot restrict its options or deliver punishments. Instead, the principal can (i) simulate the task in a testing environment and (ii) impose imperfect recall on the AI, obscuring whether the task being performed is real or part of a test. By committing to a testing mechanism, the principal can screen the misaligned AI during testing and discipline its behaviour in deployment. Increasing the number of tests allows the principal to screen or discipline arbitrarily well. The screening effect is preserved even if the principal cannot commit or if the agent observes information partially revealing the nature of the task. Without commitment, imperfect recall is necessary for testing to be helpful.
That is by Eric Olav Chen, Alexis Ghersengorin, and Sami Petersen. And here is a tweet storm on the paper. I am very glad to see the idea of an optimal principal-agent contract brought more closely into AI alignment discussions. As you can see, it tends to make successful alignment more likely.
Health insurance companies are not the main villain
First of all, insurance companies just don’t make that much profit. UnitedHealth Group, the company of which Brian Thompson’s UnitedHealthcare is a subsidiary, is the most valuable private health insurer in the country in terms of market capitalization, and the one with the largest market share. Its net profit margin is just 6.11%…
That’s only about half of the average profit margin of companies in the S&P 500. And other big insurers are even less profitable. Elevance Health, the second-biggest, has a margin of between 2% and 4%. Centene’s margin is usually around 1% to 2%. Cigna Group’s margin is usually around 2% to 3%. And so on. These companies are just making very little profit at all.
And:
In other words, Americans’ much-hated private health insurers are paying a higher percent of the cost of Americans’ health care than the government insurance systems of Sweden and Denmark and the UK are paying. The only reason Americans’ bills are higher is that U.S. health care provision costs so much more in the first place.
And:
In fact, the Kaiser Family Foundation does detailed comparisons between U.S. health care spending and spending in other developed countries. And it has concluded that most of this excess spending comes from providers — from hospitals, pharma companies, doctors, nurses, tech suppliers, and so on…
Recommended, here is the full post.
Tabarrok on Bail
I appeared on the Bail in the Midwest Podcast (Apple) to talk about crime and bail. Here is one bit:
I’ve talked about capturing these people and recapturing them and that of course is what you see on television. That’s the sexy part of it but actually a lot of what is going on, as you well know, is that the bail bondsmen understand the system much better than the the clients do. So what they’re often doing is helping their clients to navigate the system and to remind them that “you have a court date”. They call them up and send them a text, “don’t forget you have to be at court at this time in this place,” you know these these people are not necessarily putting it on their Google Calendar right? So the bail bondsmen they really perform a social service in helping people to navigate the intricacies of the criminal justice system at a time of high stress.
Spotify: https://open.spotify.com/episode/7dwB1NX43CEqNzBA2crSDp
Podcast Index: https://podcastindex.org/podcast/5314589?episode=30862010733
Should crypto receive a tax exemption?
Probably not, or so I argue in my latest Bloomberg column. Excerpt:
The most obvious argument against the proposal is simply that uniform taxation is better than selective tax exemptions. If a lower capital gains tax rate is preferable, then the goal should be to make a smaller cut that applies to all assets. Exempting a single kind of asset is likely to lead to abuses. You might think that boosting crypto is important now, but which sector or asset will be selected next for special treatment? It may be one you don’t think deserves it.
And:
Another problem is that tax exemption is probably not the best route to crypto normalization. What crypto assets and institutions require is predictable treatment, and on that score the nomination of Paul Atkins to lead the SEC is a good sign. Is a capital gains tax rate of zero even sustainable? A future Democratic president could raise the rate back to standard levels, or higher yet. The crypto industry would still be whipsawed by politics.
A tax exemption for crypto also would skew the population of crypto investors, and not necessarily in a beneficial fashion. The US economy offers a variety of options for tax-free savings, ranging from 401(k) plans to IRAs to pension funds. These vehicles make the most sense for investors who are liquid enough to put aside some money and lose immediate access to their funds.
It would be unfortunate if crypto became a preferred tax-free savings vehicle for lower-income groups. Crypto prices may well remain volatile in the future, and crypto investments are still more likely to be associated with scams and questionable business practices. This is obviously true even if you, like me, see plenty of legitimate uses for crypto assets and institutions.
And:
Another issue is one of tax arbitrage. If crypto assets truly are not taxed on their capital gains, many other investment vehicles might, over time, be repackaged in crypto form. Rather than holding some equity in a company, why not hold a crypto token backed by that same company? That is hard to do under today’s laws and regulations, but it may well become easier under a Trump administration, which seems committed to the normalization of crypto. That normalization, however beneficial it may eventually prove, should not be allowed to serve as a way to dodge taxes.
“Be careful what you wish for, you might get it…”
The Nobel Prize lectures in economics
Trump City
Donald Trump wants to create Freedom Cities. It’s a good idea. As I wrote in 2008, the Federal Government owns more than half of Oregon, Utah, Nevada, Idaho and Alaska and it owns nearly half of California, Arizona, New Mexico and Wyoming. See the map (PDF) for more [N.B. the vast majority of this land is NOT parks]. Thus, there is plenty of land to build new cities that could be adopted to new technologies such as driverless cars and drones.
Mark Lutter review the history and motivation and has a good suggestion:
Our favorite possibility is Presidio National Park. Though much smaller than Guantanamo Bay or Lowry Range, its location is ideal. San Francisco is the world’s tech capital, despite its many problems. The federal government can help San Francisco unleash its full potential by developing Presidio. With Paris-level density and six-story apartment buildings, a developed Presidio would add 120,000 residents, increasing San Francisco’s population by 15 percent. Further, given the city’s existing talent density, a Presidio featuring a liberalized biotechnology regime would quickly become a world innovation leader in this sector. America deserves a Bay Area that can compete; turning Presidio into a Freedom City could be an important step in that direction.
I would add only one suggestion let’s call this Trump City.
La ciudad lineal
When does it make sense to organize most of your urban activity on a (more or less) straight line?
If land transport is very costly, as in much earlier times, and a river is available, you might build much of the town right on the river bank. You can see remnants of this if you travel along the Rhine, though those developments have since expanded in other directions. Volgograd partially matches this description as well, or so I am told. But since river transport has declined in importance, such modes of urban organization have fallen out of favor and for obvious reasons.
Might some new technology resurrect the relevance of linear spatial organization?
Perhaps a very rapid airport people mover can make linear organization non-crazy, but I do not see that it would privilege linear organization. Does not Istanbul airport have a fairly linear structure? But how scalable is that?
The Saudi plans for Neom attempt to resurrect a very strong and strict linear model, based on a new mode of transport. From Wikipedia:
The Line is eventually planned to be 170 kilometres (110 miles) long. It could stretch from the Red Sea approximately to the city of Tabuk and could have nine million residents, resulting in an average population density of 260,000 per square kilometre (670,000/sq mi)…Early plans proposed an underground railway with 510-kilometre-per-hour (317 mph) trains that could travel from one end of The Line to the other in 20 minutes.
Supposedly all the shops and sites would be within a five-minute walk of line stops.
Of course this plan may not happen. But the 317-mph train is essential to the idea. Just hop on, and travel at super-rapid speeds to where you want to go. Presumably there are enough tracks with enough stops, like those newish programmable elevators, that you won’t have to accelerate and decelerate too many times. But, as the number of desirable stops proliferates, that ends up translating into an impractical number of separate individual train tracks.
The core problem seems to be that a linear city requires both super-rapid transport and not too many desirable stops. It is hard to pull off that combination in the modern world.
Is Conakry the closest the world has to a truly linear city?
Probably that map is a bear sign for the idea.
To read about this topic, you might try:
von Thunen, The Isolated City.
Arturo Soria y Puig, La Ciudad Lineal.
Cerda, The Five Bases of the General Theory of Urbanization, edited by Arturo Soria y Puig.
N.A. Miliutin, Sotsgorod: The Problem of Building Socialist Cities.
And ask your local GPT.
o1 explains why you should not dismiss Fischer Black on money and prices
The prediction of inflation dynamics—how prices change over time—has increasingly confounded modern macroeconomists. Throughout much of the twentieth century, there seemed to be clear relationships linking the money supply, economic slack, and price levels. Monetarism, the school of thought that posits a stable connection between the growth rate of a money aggregate and the subsequent rate of price inflation, emerged from these apparent regularities. However, in the decades since, inflation’s behavior has grown more elusive. At present, even the most sophisticated forecasting models struggle to produce accurate predictions, and this persistent difficulty has led many economists to abandon or at least sideline monetarist frameworks, even as broad conceptual approximations of what drives price-level changes.
Several factors have contributed to the increasing complexity and unpredictability of inflation. First, the financial innovations and regulatory changes of the late twentieth and early twenty-first centuries dramatically altered the relationship between money and economic activity. Monetary aggregates—like M1 or M2—that once served as dependable indicators of policy stance and future inflation now behave erratically due to shifts in the velocity of money, the proliferation of shadow banking, and the globalization of financial flows. Simply put, where money resides and how quickly it moves through the economy has become too fluid and too complex for older monetarist simple rules to capture.
Second, the nature of central banking and fiscal policymaking has changed. Central banks now intervene in a host of unconventional ways, from massive purchases of financial assets to the forward guidance of policy expectations. These tools are not well-explained by the classic monetarist perspective, which centered on controlling a particular measure of the money supply. The recent experience following the Global Financial Crisis vividly illustrates this: The Federal Reserve and other central banks undertook unprecedented quantitative easing programs, dramatically expanding their balance sheets. According to traditional monetarist logic, this rapid increase in the monetary base should have led to substantial inflation. Yet inflation remained persistently below target levels in many advanced economies for years, confounding those who relied on old monetary aggregates as a guide.
Third, the determination of prices today involves a bewildering interplay of global supply chains, technological advances, labor market transformations, and shifts in consumer behavior. Globalization means that prices for goods and services are influenced not just by domestic monetary conditions, but also by distant supply shocks, currency fluctuations, and international competition. Technological change increases productivity and can compress prices in certain sectors, while leaving other parts of the economy less affected. Labor markets have also evolved, with changes in union power, demographic shifts, and altered labor-force participation patterns influencing wage formation and cost pressures. These micro-level frictions and structural changes make the older macro-level equations linking money supply growth to inflation too coarse and imprecise.
Expectations add another layer of complexity to predicting inflation. Modern theories emphasize the importance of how households and firms anticipate future prices. If inflation expectations are well-anchored—due perhaps to the credibility and transparency of central banks—then inflation may remain muted even in the presence of large monetary expansions. This expectations-driven feedback loop can be fragile and influenced by factors that monetarist models never fully accounted for, such as long-standing policy credibility, real-time policy communication, and evolving social norms around price-setting.
The persistent difficulty in accurately forecasting inflation has thus fostered widespread skepticism regarding monetarist frameworks. Economists have increasingly turned to more eclectic, multi-factor models that mix elements of behavioral economics, sectoral and supply-side analyses, and forward-looking expectation frameworks. In these models, money plays at most a peripheral role, subsumed within larger financial conditions indexes or treated as a secondary variable rather than a primary determinant of prices. While many of these frameworks remain works-in-progress, they arguably do a better job reflecting the messy reality of modern economies than the neat but now outmoded equations of monetarism.
Moreover, as central banking has shifted toward inflation targeting and the careful management of expectations, the levers of policy have diverged even further from the simple control of monetary aggregates. Instead, policymakers pay more attention to interest rates, output gaps, and inflation targets. Market participants and researchers look to high-frequency data, surveys of inflation expectations, measures of wage growth, and detailed sectoral price indices to glean insights into future inflation trends.
In sum, today’s difficulty in predicting inflation stems not from a lack of effort or sophistication on the part of economists, but from a world that has grown too complex for the old, more mechanical relationships. As the empirical evidence over recent decades has mounted, it has pushed policymakers and scholars away from monetarism. Central bankers and macroeconomists have concluded that merely tracking money supply is insufficient to explain or predict the course of price levels. They have rejected monetarism not out of ideological bias, but because the data and events of recent history have shown that the old assumptions and simplifications no longer approximate the reality of modern inflation dynamics.
Here is the link, and I will add a few points:
1. o1 is a very good economist. Try to stump it if you can.
2. I am very familiar with Scott Sumner’s monetary theory arguments about medium of account, cash balances, and the like. I grew up with those in pretty much the same manner that Scott did. That said, after decades of watching the data, I have surrendered many of my earlier intuitions.
3. I actually stand to “the quantity theory side” of the current macroeconomic consensus. That is, I think the quantity theory is sometimes quite relevant, such as right after the pandemic, when the inflation rate rose considerably along with M2 aggregates. But often quantity theory modes of thought are far less relevant, and we do not have a good theory for distinguishing when. Note that a lot of the empiricists who work in this area, say for the Fed, do not think money supply magnitudes are very relevant at all. If anything, I am leaning in Scott’s direction, rather than going out on a limb relative to mainstream doctrine.
4. Basically, the people who dismiss the Fischer Black view would have a tougher time of it if they started with this evidence.
5. In Scott’s comment on his post he starts by citing me and then writes: “[TC] I read Scott as significantly overrating the forecasting power of the nominal in the data. [end TC]” No, that is misreading me. My post wasn’t considering the forecasting power of nominal data. For instance, I don’t believe that changes in the money supply are a good way of forecasting inflation. My post was a critique of the view that central banks cannot control inflation, i.e., the view that they do not affect nominal variables. I was not claiming that they have perfect control over inflation.”
A few points: a) I read Scott in general as overemphasizing the nominal, it wasn’t a comment about that post per se. The data on inflation dynamics show how poorly we understand the nominal. b) we still need a good way of thinking about inflation, and that re-opens the door to Black-like insights, and c) neither Black nor I claim that central banks cannot affect nominal variables. They do this best when people think they can, or when they are willing to act irresponsibly with the currency or possibly monetary base lever. But often they are not willing to act irresponsibly, so much of it boils down to expectations. That is close to Black’s view, though I think he overemphasized expectations as the sole relevant factor.
Noah Smith presents Ryan Oprea
But a new paper by Ryan Oprea challenges the idea that we even need something like Prospect Theory at all. Oprea hypothesizes that a lot of the seemingly “irrational” experimental behaviors are really just due to the excessive complexity of the task they’re being asked to do. He does an experiment where he takes away all the risk in the decision — there are no probabilities and no losses involved. One option just gives you more money than the other. And yet experimental subjects still make mistakes that look a lot like the “irrational” choices they make in Kahneman-type experiments. Eric Crampton has a good blog post summarizing the details of Oprea’s experiment.
So it’s possible that a lot of what looks like “irrationality” is just human beings being unable to deal with complex calculations. That doesn’t kill the idea of behavioral economics — it just means we need different theories about why people don’t act like homo economicus.
Here is the link to Noah.
How is the Russian war economy doing?
Here is a gloomy account from Vladimir Mirov:
Ruble depreciation will contribute to inflation even further, as Russia is continued to be heavily reliant on imports – this is a kind of self-sustaining spiral. I also strongly disagree with those who say that cheaper ruble is “good” for exporters and the budget. Exporters have yet to make good use of devaluing ruble – which they can’t do, because Russia is under all sorts of embargoes, and China and other Global South countries are not opening their markets to most Russian goods. As to the budget, the effect is much more complex than many consider: on one hand, budget gets more rubles from export revenues due to ruble depreciation, while minimizing ruble-nominated costs. On the other hand, though, higher inflation and costlier imports will, in my view, more than offset these budget-positive effects.
I think we have to look at the situation in a more complex way. Sharp ruble depreciation is a mere illustration of Russia’s deepening economic woes. Nearly three years since the beginning of Russia’s full-scale invasion of Ukraine, Russian economy is stranded. No new sustainable economic model has been found. Import substitution is not working. China is only buying our most basic commodities at heavy discounts, while keeping its market closed for other Russian goods. There’s no investment or technology coming into Russia from China and other Global South countries. Everything is dependent on state subsidies – but the government’s financial reserves are running thin. if you listen to industry and business speakers at the most recent economic fora, there’s an endless stream of begging – we won’t survive with state subsidies for this, state support for that, we haven’t got technology, haven’t got investment, haven’t got profitability, haven’t got workforce. etc. Makes one wonder – what have you got then?
There is much more at the link, bearish throughout.
Why are no trillion dollar companies being created in Europe?
That is the theme of a new Substack by Pieter Garicano, here is one excerpt:
These answers, according to a recent paper by Olivier Coste and Yann Coatanlem, two French investors, miss the point: the reason more capital doesn’t flow towards high-leverage ideas in Europe is because the price of failure is too high.
Coste estimates that, for a large enterprise, doing a significant restructuring in the US costs a company roughly two to four months of pay per worker. In France, that cost averages around 24 months of pay. In Germany, 30 months. In total, Coste and Coatanlem estimate restructuring costs are approximately ten times greater in Western Europe than in the United States…
Consider a simple example. Two large companies are considering whether to pursue a high risk innovation. The probability of success is estimated at one in five. Upon success they obtain profits of $100 million, and the investment costs $15 million.
One of the companies is in California, where if the innovation fails the restructuring costs $1 million. The other company is in Germany, where restructuring is 10x more expensive, it costs $10 million (a conservative estimate).
The expected value of this investment in California is a profit of $5 million. In Germany the expected value is a loss of $3 million.
Recommended.
China markets in everything
This is very interesting, and I think a world first: a local government in China has just sold its sky, literally. This is the government of Pingyin County, Jinan, Shandong Province who sold for 924 million yuan (approximately $130 million) a 30-year concession to operate and maintain its low-altitude economic projects to a company called Shandong Jinyu General Aviation Co., Ltd. The “low-altitude economy” is a big trend in China at the moment. XPeng, one of China’s leading EV manufacturers, recently released a low-altitude flying car for instance. Drone deliveries are becoming increasingly common in Chinese cities, and various regions are actively developing low-altitude transportation networks. Shanghai, for instance, plans to establish 400 low-altitude flight routes by 2027. But this is the first time a local government has monetized its low-altitude airspace…
Here is more from Arnaud Bertrand. Via Jesper.
Info Finance has a Future!
Info finance is Vitalik Buterin’s term for combining things like prediction markets and news. Indeed, a prediction market like Polymarket is “a betting site for the participants and a news site for everyone else.”
Here’s an incredible instantiation of the idea from Packy McCormick. As I understand it, betting odds are drawn from Polymarket, context is provided by Perplexity and Grok, a script is written by ChatGPT and read by an AI using Packy’s voice and a video is produced by combining with some simple visuals. All automated.
What’s really impressive, however, is that it works. I learned something from the final product. I can see reading this like a newspaper.
Info finance has a future!
Addendum: See also my in-depth a16z crypto podcast (Apple, Spotify) talking with Kominers and Chokshi for more.
The end of oil?
It is now plausible to envision scenarios in which global demand for crude oil falls to essentially zero by the end of this century, driven by improvements in clean energy technologies, adoption of stringent climate policies, or both. This paper asks what such a demand decline, when anticipated, might mean for global oil supply. One possibility is the well-known “green paradox”: because oil is an exhaustible resource, producers may accelerate near-term extraction in order to beat the demand decline. This reaction would increase near-term CO2 emissions and could possibly even lead the total present value of climate damages to be greater than if demand had not declined at all. However, because oil extraction requires potentially long-lived investments in wells and other infrastructure, the opposite may occur: an anticipated demand decline reduces producers’ investment rates, decreasing near-term oil production and CO2 emissions. To evaluate whether this disinvestment effect outweighs the green paradox, or vice-versa, I develop a tractable model of global oil supply that incorporates both effects, while also capturing industry features such as heterogeneous producers, exercise of market power by low-cost OPEC producers, and marginal drilling costs that increase with the rate of drilling. I find that for model inputs with the strongest empirical support, the disinvestment effect outweighs the traditional green paradox. In order for anticipation effects on net to substantially increase cumulative global oil extraction, I find that industry investments must have short time horizons, and that producers must have discount rates that are comparable to U.S. treasury bill rates.
That is from a new NBER working paper by Ryan Kellogg.
Marginal Revolution Podcast–The New Monetary Economics!
Today on the MR Podcast Tyler and I discuss the “New Monetary Economics”. Here’s the opening
TABARROK: Today we’re going to be talking about the new monetary economics. Now, perhaps the first thing to say is that it’s not new anymore. The new monetary economics refers to a set of claims and ideas about monetary economics from the 1980s, more or less, coming from people mostly in finance, like Fischer Black and Eugene Fama, and making some very bold claims that macroeconomics had gotten some things completely wrong. You and Randall Kroszner also wrote a great book, Explorations in the New Monetary Economics, and that appeared in 1994. [Someone should reprint this book!, AT]
Now, most people thought that the ideas of the new monetary economics were simply crazy. Black and Fama, for example, they argued that the Fed was essentially impotent; that it couldn’t control the money supply or even the price level, let alone the economy, at least in some circumstances.
COWEN: Fischer Black started the new monetary economics with a 1970 article, very early. Not in a standard journal, of course. Black argued that the Fed doesn’t matter. The supply of money and the price level were not closely related in any obvious way. There’s a well-known story where Fischer Black showed up at Chicago to present a paper at Milton Friedman’s monetary seminar. Friedman started off by introducing Black as, “Fischer Black’s paper is totally wrong. He’s going to present it to us. We have two hours to figure out why.”
At the same time, people like Paul Samuelson, Robert Solow, the MIT crowd, they also just said Black is totally wrong. He’s a genius on finance and options pricing, but when it comes to monetary economics, just forget about it. Dismiss him. They even said this in print at times.
The ideas of the NME remain as counterintuitive as ever–is it really possible that the Fed has no power over inflation let alone the real economy??? Yet the ideas seem increasingly relevant to modern, sophisticated, highly liquid financial markets and monetary systems including crypto. If anything, the NME has become harder to dismiss, as the world theorized by its proponents in the 1970s and 1980s now mirrors today’s reality far more than their own. While the NME may be now be old, the ideas remain as challenging and even as inspiring as ever.
I am not sure that either Tyler or I have a solid conclusion on the NME but we invite you to join us on this exploration.
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