Un Poco Loco, But Effective? Almost 1 Year of President Milei

I don’t like to follow politics, much less politics in another country. Policy on the other hand? I’m always hooked.

Most of us have heard of President Javier Milei by now. He became Argentina’s president in December of 2023. Prior, he had been in charge of a private pension company, a university professor who taught macroeconomics, had hosted a radio show, and has written several books. See his Wikipedia entry for more.

What makes him worth talking about is that he appears a little… unique. He’s boisterous and rattles off economic stories and principles like he wants you to get up and do something about it. To anyone in the US, he looks and behaves like a weird 3rd-party candidate – sideburns and all. He’s different. Here he is bombastically identifying which government departments he would eliminate:

I’ve enjoyed the spectacle, but haven’t paid super close attention. I know that he is libertarian in political outlook, drops references to Austrian economists and their ideas by the handful, and doesn’t mince words. Here he is talking at the Davos World Forum (English & Dubbed).

So what?

Argentina has a long history of high inflation and debt defaults. Every president always says that they’ll fix it, and then they don’t. There have been periods of lower inflation, but they don’t persist. Among Milei’s stated goals was to end that cycle and bring down inflation. His plan was to substantially reign in deficit spending by eliminating entire areas of government. We’re now approaching a year since Milei took office, and I thought that I would check in. Below is the CPI for Argentina since 2018. As soon as Milei took office prices spiked, but have started coming down more recently. Similarly, the Argentine Peso has fallen in value by 50% since he’s taken office. Ouch!

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Long-Run Prediction Markets Just Got More Accurate

Kalshi just announced that they will begin paying interest on money that customers keep with them, including money bet on prediction market contracts (though attentive readers here knew was in the works). I think this is a big deal.

First, and most obviously, it makes prediction markets better for bettors. This was previously a big drawback:

The big problem with prediction markets as investments is that they are zero sum (or negative sum once fees are factored in). You can’t make money except by taking it from the person on the other side of the bet. This is different from stocks and bonds, where you can win just by buying and holding a diversified portfolio. Buy a bunch of random stocks, and on average you will earn about 7% per year. Buy into a bunch of random prediction markets, and on average you will earn 0% at best (less if there are fees or slippage).

This big problem just went away, at least for election markets (soon to be all markets) on Kalshi. But the biggest benefit could be how this improves the accuracy of certain markets. Before this, there was little incentive to improve accuracy in very long-run markets. Suppose you knew for sure that the market share of electric vehicles in 2030 would over 20%. It still wouldn’t make sense to bet in this market on that exact question. Each 89 cents you bet on “above 20%” turns into 1 dollar in 2030; but each 89 cents invested in 5-year US bonds (currently paying 4%) would turn into more than $1.08 by 2030, so betting on this market (especially if you bid up the odds to the 99-100% we are assuming is accurate) makes no financial sense. And that’s in the case where we assume you know the outcome for sure; throwing in real-world uncertainty, you would have to think a long-run market like this is extremely mis-priced before it made sense to bet.

But now if you can get the same 4% interest by making the bet, plus the chance to win the bet, contributing your knowledge by betting in this market suddenly makes sense.

This matters not just for long-run markets like the EV example. I think we’ll also see improved accuracy in long-shot odds on medium-run markets. I’ve often noticed early on in election markets, candidates with zero chance (like RFK Jr or Hillary Clinton in 2024) can be bid up to 4 or 5 cents because betting against them will at best pay 4-5% over a year, and you could make a similar payoff more safely with bonds or a high-yield savings account. Page and Clemen documented this bias more formally in a 2012 Economic Journal paper:

We show that the time dimension can play an important role in the calibration of the market price. When traders who have time discounting preferences receive no interest on the funds committed to a prediction-market contract, a cost is induced, with the result that traders with beliefs near the market price abstain from participation in the market. This abstention is more pronounced for the favourite because the higher price of a favourite contract requires a larger money commitment from the trader and hence a larger cost due to the trader’s preference for the present. Under general conditions on the distribution of beliefs on the market, this produces a bias of the price towards 50%, similar to the so-called favourite/longshot bias.

We confirm this prediction using a data set of actual prediction markets prices from 1,787 market representing a total of more than 500,000 transactions.

Hopefully the introduction of interest will correct this, other markets like PredictIt and Polymarket will feel competitive pressure to follow suit, and we’ll all have more accurate forecasts to consult.

Where Are The 7 Million Missing Men?

You may have heard that there are roughly 7 million men of working age that are not currently in the labor force — that is, not currently working or looking for work. The statistic has been produced in various ways using slightly different definitions by different researchers, but the most well-known is from Nicholas Eberstadt who uses the age cohort of 25-55 years old and gets about 7 million (in 2015). More recently and perhaps more prominently is from Senator JD Vance, and as with almost all issues he has tied this to illegal immigration.

The 7-million-men statistic is true enough, and if we limit it to native-born American men with native-born parents (I assume this is the group Vance is concerned about), we can get right at 7 million non-working men in 2024 by expanding the age cohort slightly to 20-55 year olds.

Why are these men not working? According to what they report in the CPS ASEC, here are the reasons broken down by 5-year age cohort (I drop 55-year-olds here to keep the group sizes equal, which shrinks the total to 6.7 million men):

By far the largest reason given for not working is illness or disability, which is 42% of the total for all of these men, the largest reason for every age group except 20-24 (who are mostly in school if they aren’t working), and it’s the majority for workers ages 30-54 (about 56% of them report illness or disability). Slightly less than 10% report “could not find work” as the reason they weren’t working, which is about 650,000 men in this age group (and are native-born with native-born parents). And over half of those reporting that they couldn’t find work are under age 30 — for those ages 30-54, it’s only about 7% of the total.

More men report that they are taking care of the home/family (800,000) than report not being able to find work (650,000). And a lot more report that they are currently in school — almost 1.5 million, and even though they are mostly concentrated among 20–24-year-olds, about one-third of them are 25 or older.

It’s certainly true that the number of working age men in the labor force has fallen over time. In 1968, 97% of men ages 20-54 had worked at some point in the past 12 months (that’s for all men regardless of nativity, which isn’t available back that far in the CPS ASEC). In 2024, that was down to about 87%. But even if we could wave a magical wand and cure all of the men that are ill or disabled, this would add less than 3 million people to the labor force, not nearly enough to make up for all of the immigrants that Vance and others are suggesting have taken the jobs of native-born Americans.

Bonkers BBC Weather App: 18,995 mile/hour Winds in U.K.

Last week as the U.S. National Weather Service was warning Florida residents of incoming 120 mile/hour winds, folks in the U.K were informed by the BBC weather app that the wind speed outside was – – wait for it – – 18,995 mph.  Hurricane force winds were displayed for many cities worldwide. Not to mention temperatures of around 400 F for Nottingham, New York, and Sydney.

The BBC of course issued retractions and apologies, blaming a third-party data supplier. Said supplier, meteorological forecasting company DTN has apologized for what it called a “technical error”.

I had my Brave browser do an AI search/summary on the topic, “What measures does the BBC take to prevent or mitigate the impact of third-party supplier issues on its weather forecasting app?”. Here is what it told me:

Based on the provided search results, the BBC takes the following measures to prevent or mitigate the impact of third-party supplier issues on its weather forecasting app:

  • Diversified data sources: The BBC uses multiple data suppliers, including MeteoGroup, to ensure that its forecasts are accurate and reliable. This diversification helps to reduce dependence on a single supplier and minimizes the impact of issues with a particular supplier.
  • Real-time updates: The BBC’s weather app provides real-time updates, which enable it to quickly respond to and correct any errors or inaccuracies caused by third-party supplier issues.
  • Error detection and correction: The BBC’s weather experts closely monitor forecasts and are able to detect and correct errors or inaccuracies caused by third-party supplier issues.
  • Technical redundancy: The BBC has implemented technical redundancy measures, such as backup systems and fail-safes, to minimize the impact of third-party supplier issues on its weather forecasting app.
  • Collaboration with other organizations: The BBC collaborates with other organizations, such as the Met Office and Scottish airline Loganair, to improve forecast accuracy and mitigate the impact of third-party supplier issues.
  • Investment in technology and AI: The BBC invests in advanced technology and artificial intelligence to improve the accuracy and reliability of its weather forecasts, reducing the reliance on third-party suppliers and minimizing the impact of issues.
  • Monitoring and maintenance: The BBC regularly monitors and maintains its weather forecasting app and underlying systems to identify and address potential issues before they become critical.

These measures demonstrate the BBC’s proactive approach to mitigating the impact of third-party supplier issues on its weather forecasting app, ensuring that users receive accurate and reliable forecasts.

That all sounds great in theory, but in practice something failed last week. I guess there is so far no fool-proof substitute for having a pair of human eyeballs look at material before it is flung out into cyberspace. But that might cost money.

Nobody is saying, but it would not surprise me if the BBC adds yet another layer of auto-checking to its robo-forecasts, to at least flag physically unrealistic numbers.

Apropos of everything

Robert Nozick and John Rawls were intellectual rivals, friendly colleagues, and even members of the same reading group. Their conversations, at least the ones we were privy to through their iterations of published work, were dedicated to reconciling the role of the state in manifesting the best possible world. Nozick, it can be said in a gratuituous oversimplification, favored a minimal government while Rawls, similarly oversimplified, favored a larger, wider reaching set of government institutions. Both were well aware of the risks and rewards of concentrating power within government institutions, they simply arrived at different conclusions based on risks each wanted to minimize versus those they were willing to incur.

My mental model of the evolution of government (influenced heavily by Nozick and refined towards the end by Rawls) goes something like this:

  1. 100,000 years ago roving bands of humans grow to thrive in their environment by solving collective action problems, largely through familial relations. Larger groups have more success hunting, foraging, and protecting themselves from predators.
  2. Eventually some groups get so good at collective action that they begin to prey on other smaller groups. These “bandits” gain more through resources taken by force than they would strictly producing resources through hunting and foraging.
  3. This creates an arms race in group size, with bigger groups having the advantage while facing the diminishing marginal returns imposed by difficultings in maintaining the integrity of collective action in the face of individual incentives to free ride i.e. its hard to get people to pull their weight when their parents aren’t watching.
  4. Some groups mitigate these difficulties, growing larger still. At some threshold of group size, the rewards to mobilitity are overtaken by the rewards to maintaining institutions and resources (freshwater, shelter, opportunities for agriculture), leading to stationary groups.
  5. These stationary groups begin to act as “stationary bandits”, extracting resources from both outsiders for the benefit of their group and from their members for the benefit of their highest status members.
  6. Differing institutions evolve across groups, varying the actions prescribed and proscribed for leaders, members (citizens), and non-members. Some groups are highly restrictive, others less so. Some groups are more extractive, funneling resources to a select minority. Some groups redistribute more , others less.
  7. Democracy evolves specifically as an institution to replace hereditary lines, a deviation from the familial lines that sat the origin of the state all the way back at step 1. Its correlation with other institutions is less certain, though it does seem to move hand-in-hand with personal property rights and market-based economies. Democracies begin to differentiate themselves based on the internal, subsidiary institutions they favor and instantiate.

A lot of my political leanings can be found not in favoring Nozick or Rawls, but in the risk immediately preceding their point of divergence. When I look at well-functioning modern democracies, I see an exception to the historical rule. I see thousands of years of stationary bandits voraciously extracting resources while high status members taking desperate action to maintain power in a world where property rights are weak and collective action is tenuous. Rawls saw a growing state as a opportunity to create justice through fairer, more equitable outcomes. Nozick saw a growing state as a further concentration of power that, no matter how potentially benevolent today, would eventually attract the most selfish and venial, leading to corruption and return to the purest stationary bandit, only now with the newfound scale.

Both strike as me as perfectly reasonable concerns about very real risks. Which do I believe the greater risk? Depends on the news and what I had for breakfast that day. In the current political context, both in the US and several other democracies, I am of the growing opinion they would be in broad agreement that the biggest risk is not the perversion of democracy from suboptimal policies and subsidiary institutions (step 7), but rather a disastrous reversion to the pre-democratic institutions (step 6).

The most underrated aspect of democracy may very well be its fragility. While historical rarity may not be undeniable evidence of inherent fragility, but it would certainly suggest that once achieved it is worth the overwhelming dedication of resources, including the sacrifice of welfare optimality, to ensure its perserverance.

It cost a lot to get here. A lot. Sacrifices that are hard to even conceive of, let alone empathize with, while living within the profound luxury of modern life. I have no doubt that many of us will find ourselves underwhelmed with the policy platforms of the full menu of viable candidates made available to voters at every level of national and local office in a few weeks. So take this little scribbling for exactly what it is: an argument to vote against candidates that reduce the probability of our constitutional republic remaining intact. By comparison, all the other differences add up to a historical rounding error.

Literature Review is a Difficult Intellectual Task

As I was reading through What is Real?, it occurred to me that I’d like a review on an issue. I thought, “Experimental physics is like experimental economics. You can sometimes predict what groups or “markets” will do. However, it’s hard to predict exactly what an individual human will do.” I would like to know who has written a little article on this topic.

I decided to feed the following prompt into several LLMs: “What economist has written about the following issue: Economics is like physics in the sense that predictions about large groups are easier to make than predictions about the smallest, atomic if you will, components of the whole.”

First, ChatGPT (free version) (I think I’m at “GPT-4o mini (July 18, 2024)”):

I get the sense from my experience that ChatGPT often references Keynes. Based on my research, I think that’s because there are a lot of mentions of Keynes books in the model training data. (See “”ChatGPT Hallucinates Nonexistent Citations: Evidence from Economics“) 

Next, I asked ChatGPT, “What is the best article for me to read to learn more?” It gave me 5 items. Item 2 was “Foundations of Economic Analysis” by Paul Samuelson, which likely would be helpful but it’s from 1947. I’d like something more recent to address the rise of empirical and experimental economics.

Item 5 was: “”Physics Envy in Economics” (various authors): You can search for articles or papers on this topic, which often discuss the parallels between economic modeling and physics.” Interestingly, ChatGPT is telling me to Google my question. That’s not bad advice, but I find it funny given the new competition between LLMs and “classic” search engines.

When I pressed it further for a current article, ChatGPT gave me a link to an NBER paper that was not very relevant. I could have tried harder to refine my prompts, but I was not immediately impressed. It seems like ChatGPT had a heavy bias toward starting with famous books and papers as opposed to finding something for me to read that would answer my specific question.

I gave Claude (paid) a try. Claude recommended, “If you’re interested in exploring this idea further, you might want to look into Hayek’s works, particularly “The Use of Knowledge in Society” (1945) and “The Pretense of Knowledge” (1974), his Nobel Prize lecture.” Again, I might have been able to get a better response if I kept refining my prompt, but Claude also seemed to initially respond by tossing out famous old books.

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Interest Rates & Wining

There’s so much to say about interest rates. Many people think about them in the context of whether they should refinance or in terms of their impact on borrowing. But interest rates also matter for production beyond impacting loans for new productive projects. Interest rates aren’t just a topic for debtors.

Interest rates impact all production that takes time. That’s the same as saying that interest rates affect all production – but the impact is easier to see for products that require more time to produce.

There’s this nice model called ‘Portfolio Theory’. Taken literally, it says that everything you own can be evaluated in terms of its liquidity, the time until it will be sold, its expected returns, and the volatility and correlation of those returns. Once you start to look at the world with this model, then it’s much easier to interpret. Buying a car? That’s usually a bad investment. It’s better to tie up a smaller amount of money into that depreciating asset rather than to let a larger sum of money experience dependably negative returns. Of course, this assumes that there are alternative uses for your money and alternative places to invest your resources – hopefully in assets with growing rather than decaying value. People often recommend purchasing used cars rather than new cars. Both new and used cars are bad investments and you can choose to invest a lot or a little.

Producers make a similar calculation. All kinds of things motivate them: love, tradition, excellence…  But everyone responds to incentives. Consider vintners. They might be a farmer of grapes and a manufacturer and seller of wine. They might like to talk about nostalgia, forward notes, a peppery nose, and other finer things. But even they respond to prices and opportunity cost.

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What Makes Rhode Island Special?

Other than being the smallest state, of course. In other places I’ve lived, it was more obvious what made them stand out. Boston has the most high-quality universities, including the oldest one (though it is expensive and traffic-ridden). New Orleans has the best food, live music, and festivals (though terrible crime and roads). I’ve lived in Rhode Island since 2020 and I’ve enjoyed how it seems to have no big negatives the way many other places do- it’s been pretty nice all around. But it has been harder to see anything where Rhode Island really stands out.

What should a tourist see or do here that they couldn’t do elsewhere? The Italian food is great, but that’s true of several other cities. You can find Portuguese food here in a way you can’t in most of the US. Probably the Cliff Walk in Newport is our best entry: a 3-mile trail along cliffs where you can see the Atlantic on one side, and Gilded-age mansions on the other.

For those living here, what stands out is the compactness. This makes sense for the smallest state, but it is even more true than you would expect, because even within Rhode Island most people are clustered within the small portion of the state that is within 5 miles of Providence.

Because of this, I almost never feel the need to drive more than 10 miles or 20 minutes; this wasn’t so true any of the other ~dozen places I’ve lived. I can easily walk to the Bay, the Zoo, and my kids’ school; then its a 20 minute drive or less to work, several good hospitals and universities, sailing, several beaches, forest hikes, the state capital, the excellent airport, Amtrak, every good grocery store, leaving the state, et c. Most other places either lack some of those things entirely or involve longer drives to get to them, though probably there’s somewhere else like this I don’t know about.

Or perhaps the best thing about Rhode Island is our people:

What do you think I missed about Rhode Island? Or if you haven’t been here, what do you think is most special about where you live?

What Are the Effects of TCJA? It’s A Little Hard to Say

The Tax Cuts and Jobs Act was passed in late 2017 and went into effect in 2018. For academic research to analyze the effects, that’s still a very recent change, which can make analyzing the effects challenging. In this case the challenge is especially important because major portions of the Act will expire at the end of next year, and there will be a major political debate about renewing portions of it in 2025.

Despite these challenges, a recent Journal of Economic Perspectives article does an excellent job of summarizing what we know about the effects so far. In “Sweeping Changes and an Uncertain Legacy: The Tax Cuts and Jobs Act of 2017,” the authors Gale, Hoopes, and Pomerleau first point out some of the obvious effects:

  1. TCJA increased budget deficits (i.e., it did not “pay for itself”)
  2. Most Americans got a tax cut (around 80%), which explains #1 — and only about 5% of Americans saw a tax increase (~15% weren’t affected either way)
  3. Following from #2, every quintile of income saw their after-tax income increase, though the benefits were heavily skewed towards the top of the distribution ($1,600 average increase, but $7,600 for the top quintile, and almost $200,000 for the top 0.1%)

Beyond these headline effects, it seems that most of the other effects were modest or difficult to estimate — especially given the economic disruptions of 2020 related to the pandemic.

For example, what about business investment? Through both lowering tax rates for corporations and changing some rules about deductions of expenses, we might have expected a boom in business investment (it was also stated goal of some proponents of the law). Many studies have tried to examine the potential impact, and the authors group these studies into three buckets: macro-simulations, comparisons of aggregate data, and using micro-data across industries (to better get at causation).

In general, the authors of this paper don’t find much convincing evidence that there was a boom in business investment. The investment share of GDP didn’t grow much compared to before the law, and other countries saw more growth in investment as a share of GDP. Could that be because GDP is larger, even though the share of investment hasn’t grown? Probably not, as GDP in the US is perhaps 1 percent larger than without the law — that’s not nothing, but it’s not a huge boom (and that’s not 1 percent per year higher growth, it’s just 1 percent).

Ultimately though, it is hard to say what the correct counterfactual would be for business investment, even with synthetic control analyses (the authors discuss a few synthetic control studies on pages 21-22, but they aren’t convinced).

What’s important about some of the main effects is that these were largely predictable, at least by economists. The authors point to a 2017 Clark Center poll of leading economists. Almost no economists thought GDP would be “substantially higher” from the tax changes, and economists were extremely certain that it would increase the level of federal debt (no one disagreed and only a few were uncertain).

The Dietary Salt Wars

For many years, it has been stated as settled science that Americans need to cut back their sodium intake from the current averages of about 3400 mg/day to less than  2400 mg sodium (about 1 teaspoon of table salt). The 2400 mg figure is endorsed by the National Academies, as described in the 164-page (we’re from the government and we’re here to help) booklet Dietary Guidelines for Americans published by USDA and HHS. The reason given is that supposedly there is a roughly linear relationship between salt intake and blood pressure, with higher blood pressure correlating to heart disease. The World Health Organization (WHO) recommends less than 2000 mg.

The dietary salt boat has been rocked in the past several years by studies claiming that cutting sodium below about 3400 mg does not help with heart disease (except for patients who already incline toward hypertension), and that cutting it much below 2400 mg is actually harmful.

The medical establishment has come out swinging to attack these newer studies. A 2018 article (Salt and heart disease: a second round of “bad science”? ) in the premier British medical journal The Lancet acknowledged this controversy:

2 years ago, Andrew Mente and colleagues, after studying more than 130000 people from 49 different countries, concluded that salt restriction reduced the risk of heart disease, stroke, or death only in patients who had high blood pressure, and that salt restriction could be harmful if salt intake became too low. The reaction of the scientific community was swift. “Disbelief” was voiced that “such bad science” should be published by The Lancet.  The American Heart Association (AHA) refuted the findings of the study, stating that they were not valid, despite the AHA for many years endorsing products that contain markedly more salt than it recommends as being “heart healthy”.

This article went on to note that, “with an average lifespan of 87·3 years, women in Hong Kong top life expectancy worldwide despite consuming on average 8–9 g of salt per day, more than twice the amount recommended by the AHA recommendation. A cursory look at 24 h urinary sodium excretion in 2010 and the 2012 UN healthy life expectancy at birth in 182 countries, ignoring potential confounders, such as gross domestic product, does not seem to indicate that salt intake, except possibly when very high, curtails lifespan.”

A more recent (2020) article by salt libertarians, Salt and cardiovascular disease: insufficient evidence to recommend low sodium intake, stated in its introduction:

In 2013, an independent review of the evidence by the National Academy of Medicine (NAM) concluded there to be insufficient evidence to support a recommendation of low sodium intake for cardiovascular prevention. However, in 2019, a re-constituted panel provided a strong recommendation for low sodium intake, despite the absence of any new evidence to support low sodium intake for cardiovascular prevention, and substantially more data, e.g. on 100 000 people from Prospective Urban Rural Epidemiology (PURE) study and 300 000 people from the UK-Biobank study, suggesting that the range of sodium intake between 2.3 and 4.6 g/day is more likely to be optimal.

… In this review, we examine whether the recommendation for low sodium intake, reached by current guideline panels, is supported by robust evidence. Our review provides a counterpoint to the current recommendation for low sodium intake. We suggest that a specific low sodium intake target (e.g. <2.3 g/day) for individuals may be unfeasible, have uncertain consequences for other dietary factors, and have unproven effectiveness in reducing cardiovascular disease. We contend that current evidence, despite methodological limitations, suggests that most of the world’s population consume a moderate range of dietary sodium (1–2 teaspoons of salt) that is not associated with increased cardiovascular risk, and that the risk of cardiovascular disease increases when sodium intakes exceed 5 g/day.

The keepers of orthodoxy fired back the following year in an article with an ugly title Sodium and Health: Old Myths and a Controversy Based on Denial  and making ugly accusations:

Some researchers have propagated a myth that reducing sodium does not consistently reduce CVD but rather that lower sodium might increase the risk of CVD. These claims are not well-founded and support some food and beverage industry’s vested interests in the use of excessive amounts of salt to preserve food, enhance taste, and increase thirst. Nevertheless, some researchers, often with funding from the food industry, continue to publish such claims without addressing the numerous objections.

Ouch.

I don’t have the expertise to dig down and make a ruling on who is right here. But I do feel better about eating my tasty salty chips, knowing I have at least some scholarly support for my habit.