Category: Economics
Chaos and Misallocation under Price Controls
My latest paper, Chaos and Misallocation under Price Controls, (with Brian Albrecht and Mark Whitmeyer) has a new take on price controls:
Price controls kill the incentive for arbitrage. We prove a Chaos Theorem: under a binding price ceiling, suppliers are indifferent across destinations, so arbitrarily small cost differences can determine the entire allocation. The economy tips to corner outcomes in which some markets are fully served while others are starved; small parameter changes flip the identity of the corners, generating discontinuous welfare jumps. These corner allocations create a distinct source of cross-market misallocation, separate from the aggregate quantity loss (the Harberger triangle) and from within-market misallocation emphasized in prior work. They also create an identification problem: welfare depends on demand far from the observed equilibrium. We derive sharp bounds on misallocation that require no parametric assumptions. In an efficient allocation, shadow prices are equalized across markets; combined with the adding-up constraint, this collapses the infinite-dimensional welfare problem to a one-dimensional search over a common shadow price, with extremal losses achieved by piecewise-linear demand schedules. Calibrating the bounds to stationlevel AAA survey data from the 1973–74 U.S. gasoline crisis, misallocation losses range from roughly 1 to 9 times the Harberger triangle.
Brian has a superb write up that makes the paper very accessible. Unfortunately, the paper is timely and relevant.
New results on the economic costs of climate change
I promised you I would be tracking this issue, and so here is a major development. From the QJE by Adrien Bilal and Diego R Känzig::
This paper estimates that the macroeconomic damages from climate change are an order of magnitude larger than previously thought. Exploiting natural global temperature variability, we find that 1○C warming reduces world GDP by over 20% in the long run. Global temperature correlates strongly with extreme climatic events, unlike country-level temperature used in previous work, explaining our larger estimate. We use this evidence to estimate damage functions in a neoclassical growth model. Business-as-usual warming implies a present welfare loss of more than 30%, and a Social Cost of Carbon in excess of $1,200 per ton. These impacts suggest that unilateral decarbonization policy is cost-effective for large countries such as the United States.
Here is an open access version. You may recall that earlier estimates of climate change costs were more like a five to ten percent welfare loss to the world. I do not however find the main results here plausible. The estimation is extremely complicated, and based on the premise that a higher global temperature does more harm to a region than a higher local temperature. And are extreme events a “productivity shock,” or a one-time resource loss that occasions some Solow catch-up? Is the basic modeling consistent with the fact that, while the number of extreme storms may be rising, the number of deaths from those same storms is falling over time? Lives lost are not the same as economic costs, but still the capacity for adjustment seems considerably underrated. What about the effects to date? The authors themselves write: “According to our counterfactual, world GDP per capita would be more than 20% higher today had no warming occurred between 1960 and 2019.” I absolutely do not believe that claim.
In any case, here is your update. To be clear, I do absolutely favor the development of alternative, less polluting energy sources.
On the Programmability and Uniformity of Digital Currencies
That is from the new AER Insights by Jonathan Chiu and Cyril Monnet:
Central bankers argue that programmable digital currencies may compromise the uniformity or singleness of money. We explore this view in a stylized model where programmable money arises endogenously, and differently programmed monies have varying liquidity. Programmability provides private value by easing commitment frictions but imposes social costs under informational frictions. Preserving uniformity is not necessarily socially beneficial. Banning programmable money lowers welfare when informational frictions are mild but improves it when commitment frictions are low. These insights suggest that programmable money could be more beneficial on permissionless blockchains, where it is difficult to commit but trades are publicly observable.
Recommended.
More on the economics of AGI
From the very smart people at Citadel:
For AI to produce a sustained negative demand shock, the economy must see a material acceleration in adoption, experience near-total labor substitution, no fiscal response, negligible investment absorption, and unconstrained scaling of compute. It is also worth recalling that over the past century, successive waves of technological change have not produced runaway exponential growth, nor have they rendered labor obsolete. Instead, they have been just sufficient to keep long-term trend growth in advanced economies near 2%. Today’s secular forces of ageing populations, climate change and deglobalization exert downward pressure on potential growth and productivity, perhaps AI is just enough to offset these headwinds. The macroeconomy remains governed by substitution elasticities, institutional response, and the persistent elasticity of human wants.
Here is further explication of the arguments, via Cyril Demaria.
Jason Furman on AI contestability
This ease of switching has forced companies to pass the gains from innovation on to users. Free tiers now offer capabilities that recently would have seemed almost unimaginable. OpenAI pioneered a $20-per-month subscription three years ago, a price point many competitors matched. That price has not changed, even as features and performance have improved substantially.
One recent analysis found that “GPT-4-equivalent performance now costs $0.40/million tokens versus $20 in late 2022.” That is the equivalent of a 70 percent annual deflation rate — remarkable by any standard, especially in a time when affordability has become a dominant public concern.
And this is only the foundational model layer. On top of it sits a sprawling ecosystem of consumer applications, enterprise tools, device integrations and start-ups aiming to serve niches as specific as gyms and hair salons.
Users aren’t the only ones switching. The people who work at these companies move from one to another, a sharp contrast to work in Silicon Valley during the era of do-not-poach agreements.
The entire NYT piece is very good.
One measure of economics GOAT
Who is the greatest economist of all time? This paper provides one potential measure that, along with other considerations, can contribute to debates on who the greatest economist of all time is. We build a novel dataset on the percentage of history of economic thought textbooks dedicated to top economists, using 43 distinct textbooks (1st editions, when available) published between 1901 and 2023. As a percentage of total book pages, Adam Smith has the highest share at 6.69%, beating out Ricardo (5.22%), Mill (3.83%), and Marx (4.36%). Just over 32% of all textbooks allocated most of their pages to Adam Smith, followed by Marx with 18.6%, Mill with 13.95%, and Ricardo with 11.3%. While interesting as a history of economic thought project, such an exercise isn’t merely amusing pedantry; it can provide insight into the types of contributions, research questions, and methodologies that have had the most enduring impact in economics. It may also inform future authors of history of economic textbooks.
That is from a new paper by Gabriel Benzecry and Daniel J. Smith. There is of course also my generative book on this topic at econgoat.ai.
Public Finance in the Age of AI: A Primer
Transformative artificial intelligence (TAI) – machines capable of performing virtually all economically valuable work – may gradually erode the two main tax bases that underpin modern tax systems: labor income and human consumption. We examine optimal taxation across two stages of artificial intelligence (AI)-driven transformation. First, if AI displaces human labor, we find that consumption taxation may serve as a primary revenue instrument, with differential commodity taxation gaining renewed relevance as labor distortions lose their constraining role. In the second stage, as autonomous artificial general intelligence (AGI) systems both produce most economic value and absorb a growing share of resources, taxing human consumption may become an inadequate means of raising revenue. We show that the taxation of autonomous AGI systems can be framed as an optimal harvesting problem and find that the resulting tax rate on AGI depends on the rate at which humans discount the future. Our analysis provides a theoretically grounded approach to balancing efficiency and equity in the Age of AI. We also apply our insights to evaluate specific proposals such as taxes on robots, compute, and tokens, as well as sovereign wealth funds and windfall clauses.
That is from Anton Korinek and Lee Lockwood.
“Tough on crime” is good for young men
Using data from hundreds of closely contested partisan elections from 2010 to 2019 and a vote share regression discontinuity design, we find that narrow election of a Republican prosecutor reduces all-cause mortality rates among young men ages 20 to 29 by 6.6%. This decline is driven predominantly by reductions in firearm-related deaths, including a large reduction in firearm homicide among Black men and a smaller reduction in firearm suicides and accidents primarily among White men. Mechanism analyses indicate that increased prison-based incapactation explains about one third of the effect among Black men and none of the effect among White men. Instead, the primary channel appears to be substantial increases in criminal conviction rates across racial groups and crime types, which then reduce firearm access through legal restrictions on gun ownership for the convicted.
That is from a new paper by Panka Bencsik and Tyler Giles. Via M.
*Introduction to Quantitative Economics*
By Jesse M. Shapiro, just out from MIT Press.
The Macroeconomic Effects of Tariffs
We study the macroeconomic effects of tariff policy using U.S. historical data from 1840–2024. We construct a narrative series of plausibly exogenous tariff changes – based on major legislative actions, multilateral negotiations, and temporary surcharges – and use it as an instrument to identify a structural tariff shock. Tariff increases are contractionary: imports fall sharply, exports decline with a lag, and output and manufacturing activity drop persistently. The shock transmits through both supply and demand channels. Prices rise in the full sample but fall post-World War II, a pattern consistent with changes in the monetary policy response and with stronger international retaliation and reciprocity in the modern trade regime.
That is from a new NBER working paper by
Is there an aggregate demand problem in an AGI world?
No. Let’s say AI is improving very rapidly, and affecting the world more rapidly and more radically than I think is plausible. Let’s just say.
All of a sudden there are incredible things you can spend your money on.
Since there is (possibly) radical deflation, you might be tempted to just hold all your money and buy nothing. Pick vegetables from your garden. But the high marginal utility of the new goods and services will get you to spend, especially since you know that plenitude will bring you, in relative terms, a lower marginal utility for marginal expenditures in the future.
You might even go crazy spending. If nothing else, buy new and improved vegetable seeds for your garden. That same example shows that spending is robust to you losing your job, even assuming no reemployment is possible. In this world, there are significant Pigou effects on wealth.
Fed policy has no problem mattering in this world. Other people of course will wish to use the new Fed-sprayed liquidity to invest. They might even invest in AI-related goods and services, not all of which will be controlled by “billionaires.”
Liquidity trap arguments, if they are to work at all, require a pretty miserable environment for investment and also consumption.
Note by the way, that liquidity traps were supposed to apply to currency only! If you try to apply the concept to money more generally, when most forms of holding money bear interest rates of return, the whole concept collapses.
So there is not an aggregate demand problem in this economy, even if the social situation feels volatile or uncomfortable. After that, Say’s Law holds. If AI produces a lot more stuff, income is generated from that and the economy keeps going, whether or not the resulting distribution pleases your sense of morality. Along the way, prices adjust as need be. If unemployment rises significantly, prices fall too, all the more. I am not saying everyone ends up happy here, but you cannot have a) a flood of goods and services, b) billions accruing to the AI owners, without also c) prices are at a level where most people can afford to buy a whole bunch of things. Otherwise, where do you think all the AI revenue is coming from? The new output has to go somewhere, and sorry people it is simply not all trapped in currency hoards. Be just a little Walrasian here, please. (I would call it Huttian instead.)
Besides, why assume that “the machines” here are reaping all the surplus? Are they the scarce factor of production? Maybe it is hard to say in advance, but do not take any particular assumptions for granted here, ask to see them spelt out. One simple scenario is that the regions with energy and data centres become much wealthier, and people need to move to those areas. Maybe they do not do this quickly enough, a’la our earlier history with the Rust Belt. That is a problem worth worrying about, but it is nothing like the recent collapse concerns that have been circulating.
The whole Citrini scenario is incorrect right off the bat. Very little of it is based on sound macroeconomic reasoning. See Eli’s very good comments too. Nicholas also. Dare I say they should have consulted with the AIs for a bit longer?
Why the “Lesser Included Action” Argument for IEEPA Tariffs Fails
The Supreme Court yesterday struck down Trump’s IEEPA tariffs, holding that the statute’s authorization to “regulate… importation” doesn’t include the power to impose tariffs. The majority’s strongest argument is simple: every time Congress actually delegates tariff authority, it uses the word “duty,” caps the rate, sets a time limit, and requires procedural prerequisites. IEEPA has none of these.
The dissent pushes back with an intuitively appealing argument: IEEPA authorizes the President to prohibit imports entirely, so surely it authorizes the lesser action of merely taxing them. If Congress handed over the nuclear option, why would it withhold the conventional weapon? Indeed in his press conference Trump, in his rambling manner, made exactly this argument:
“I am allowed to cut off any and all trade…I can destroy the trade, I can destroy the country, I’m even allowed to impose a foreign country destroying embargo…I can do anything I want to do to them…I’m allowed to destroy the country, but I can’t charge a little fee.”
The argument is superficially appealing but it fails due to a standard result in principal-agent theory.
Congress wants the President to move fast in a real emergency, but it doesn’t want to hand over routine control of trade policy. The right delegation design is therefore a screening device: give the President authority he will exercise only when the situation is truly an emergency.
An import ban works as a screening device precisely because it is very disruptive. A ban creates immediate and substantial harm. It is a “costly signal.” A President who invokes it is credibly saying: this is serious enough that I am willing to absorb a large cost. Tariffs, in contrast, are cheaper–especially to the President. Tariffs raise revenue, which offsets political pain. Tariff incidence is diffuse and easy to misattribute—prices creep, intermediaries take blame, consumers don’t observe the policy lever directly. Most importantly tariffs are adjustable, which makes them a weapon useful for bargaining, exemptions, and targeted favors. Tariffs under executive authority implicitly carry the message–I am the king; give me a gold bar and I will reduce your tariffs. Tariff flexibility is more politically appealing than a ban and thus a less credible signal of an emergency. The “lesser-included” argument gets the logic backwards. The asymmetry is the point.
Not surprisingly, the same structure appears in real emergency services. A fire chief may have the authority to close roads during an emergency but that doesn’t imply that the fire chief has the authority to impose road tolls. Road closure is costly and self-limiting — it disrupts traffic, generates immediate complaints, and the chief has every incentive to lift it as soon as possible. Tolls are cheap, adjustable, and once in place tend to persist; they generate revenue that can fund the agency and create constituencies for their continuation. Nobody thinks granting a fire chief emergency closure authority implicitly grants them taxing authority, even if the latter is a lesser authority. The closure and toll instruments have completely different political economy properties despite operating on the same roads.
The majority reaches the right conclusion by noting that tariffs are a tax over which Congress, not the President, has authority. That is constitutionally correct but the deeper question is why the Framers lodged the taxing power in Congress — and the answer is political economy. Revenue instruments are especially easy for an executive to exploit because they can be targeted. The constitutional rule exists to solve that incentive problem.
Once you see that, the dissent’s “greater includes the lesser” inference collapses on its own terms. A principal can rationally authorize an agent to take a dramatic emergency action while withholding the cheaper, revenue-lever not despite the fact that it seems milder, but because of it. The blunt instrument is self-limiting. The revenue instrument is not. That asymmetry is what the Constitution’s categorical division of powers preserves — and what an open-ended emergency delegation would destroy.
A Republic, if you can keep it
The conclusion of Justice Gorsuch’s concurrence in the tariff case:
For those who think it important for the Nation to impose more tariffs, I understand that today’s decision will be disappointing. All I can offer them is that most major decisions affecting the rights and responsibilities of the American people (including the duty to pay taxes and tariffs) are funneled through the legislative process for a reason. Yes, legislating can be hard and take time. And, yes, it can be tempting to bypass Congress when some pressing problem
arises. But the deliberative nature of the legislative process was the whole point of its design. Through that process, the Nation can tap the combined wisdom of the people’s elected representatives, not just that of one faction or man. There, deliberation tempers impulse, and compromise hammers
disagreements into workable solutions. And because laws must earn such broad support to survive the legislative process, they tend to endure, allowing ordinary people to plan their lives in ways they cannot when the rules shift from day to day. In all, the legislative process helps ensure each of us has a stake in the laws that govern us and in the Nation’s future. For some today, the weight of those virtues is apparent. For others, it may not seem so obvious. But if history is any guide, the tables will turn and the day will come when those disappointed by today’s result will appreciate the legislative process for the bulwark of liberty it is.
South Africa facts of the day
With the lights back on and freight beginning to move again, in November South Africa won its first credit upgrade in two decades after S&P Global Ratings lifted the sovereign rating by one notch to double B.
Investor confidence is also up. According to Nedbank, private sector investment announcements tripled last year to more than R382bn ($23.6bn). Since the end of 2023, the South African rand has been the world’s best performing major currency on a spot basis reflecting immediate exchange rates, up nearly 15 per cent against the dollar. Over the past 12 months, the JSE all-share index is up 37 per cent in rand terms.
Growth reached 1.2 per cent in 2025, hardly transformative, but double the rate of the previous year. For the first time in a long time, economists are talking enthusiastically about “green shoots” and forecasting year-on-year expansion.
Here is more from David Pilling, Joseph Cotterill, and Monica Mark at the FT.
I podcast on Spain and Latin America
With Rasheed Griffith and Diego Sanchez de la Cruz. Here is one excerpt:
Rasheed: Tyler, if El Salvador were to become a success story, what would it likely be a success at first? Manufacturing, migratory investment, investment tourism, or something more unusual? Because those typical answers feel like maybe they have missed the boat.
Tyler: I think El Salvador has turned itself into a very safe country which is great news. I think you and I both saw that when we were there. I think under all scenarios they have a very hard time becoming much richer. So I don’t think it’s manufacturing through no fault of their own. But most of the world is de-industrializing. So manufacturing is not a source of growing employment due to automation. But there’s other issues for Central America such as scale and the cost of electricity. El Salvador is not the best in Latin America for either of those compared say to Northern Mexico. So I don’t see what its relative advantage is. And it’s just a small place.
I checked with ChatGPT. one estimate places about third of the population, living in the United States on average. That’s probably the more ambitious one third. So there’s considerable brain drain. I do think in terms of levels they can do much more with tourism. They have an entire Pacific Coast which is quite underdeveloped, and could be developed very fruitfully. Sell condominiums, have people do more surfing. Try to have something a bit more like the next Acapulco, but even there you’re competing against Cancun among other locations and it will boost their level but it won’t be a permanently higher rate of growth.
And that’s the case with many touristic developments. They don’t self compound forever and give you many other productivity improvements. So I expect El Salvador to do much better but I know a lot of people who read Bukele on social media and they think it’s about to be the next Singapore or something and I just don’t know how they’re gonna do that under really any scenario. I do think it will improve and they’ll get more foreign investment and more tourism.
Rasheed: How much is “much better”? That’s doing a lot of work there.
Tyler: When you look at the Pacific Coast and you and I sat right next to the water [it could develop much more]. So that could create quite a few jobs. But in the longer term steady state I think they’ll have a hard time averaging more than 2% growth. So they can attach themselves more closely to the US economy. They use the dollar and let’s just assume their governance does not go crazy. That’s another risk right? So Bukele or whoever succeeds them could overreach. The checks and balances the constitutional protections there seem quite weak. Another possible risk there that even despite his best efforts the country becomes dangerous again. You look at Costa Rica which had been quite safe and did all the right things, and is larger and has many more resources and that’s now becoming a more dangerous place because it was targeted by external, in some cases Mexican drug traffickers. And that could happen to El Salvador as well. So even if think the current campaign is gonna work forever it doesn’t mean the country stays safe forever. It’s not really in a very safe region. So that’s a side risk which will also keep down foreign investment. I don’t know, I’m I am definitely seeing the upside but not super duper optimistic there.
Plenty of fresh material, with transcript, recommended.