teddy sovereign

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teddy sovereign

teddy sovereign

@tmistmm

schrodinger’s american // @uchicago @ArsenalFC

Katılım Mart 2026
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teddy sovereign
teddy sovereign@tmistmm·
in no particular, some nf readings for the upcoming summer
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Brian Graham
Brian Graham@iroasmas·
santa, this is rudolph. he’s a reindeer. he’s one of the most undervalued animals on the pole. his defect is his nose is red and glows. this guy could be one of your best coursers in history. he should cost $3 million a year. we can get him for a song
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Arpit Gupta
Arpit Gupta@arpitrage·
Scientific progress in economics is bottlenecked by the supply of tenured jobs, so the review process gets drawn out CS coordinated to a better equilibrium: faster dissemination of research through conference proceedings, and weighing these proceedings (+ citations) for tenure
Kweku Opoku-Agyemang, Ph.D@KwekuOA

Yes. Computer science has the best research culture in my experience. At this point, its impact speaks for itself. Other disciplines like economics and the political economy of development could learn a lot to reach their ultimate potential. How did they pull it off? Thread brought to you from .@mlxdoing .@DevEconX.

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Eashwar Nagaraj
Eashwar Nagaraj@eashwarnagaraj·
🚨Early version of my JMP! 🚨 To what extent is the contact between corporate lobbyists and federal government officials publicly disclosed? In other words, how big is the market for "shadow lobbying"? The Lobbying Disclosure Act mandates quarterly disclosure of lobbying "contacts" subject to many caveats. Watchdogs have long complained about lacunae in the LDA, but there is little evidence of the size of shadow lobbying market. In my JMP, I use 4.5 trillion pings from 179 million smartphones spatially merged to building shapefiles and observe movement between lobbyists' offices, corporate headquarter buildings, and the federal government in Washington DC. See below: movement of lobbyists from corporate HQs to federal government buildings:
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Ernie Tedeschi
Ernie Tedeschi@ernietedeschi·
Fantastic piece worth reading. A lot boils down to the trickiness of measuring PPPs over time. Even some "constant" PPPs, like PWT's, use multiple ICP benchmark PPPs & interpolate between them, which can lead to inconsistency with national accounts. I like the Fernald, Inklaar, & Ruzic (2024) approach, which is to anchor the base using PPPs & then explicitly adjust forwards & backwards from there using national accounts real measures.
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Luis Garicano 🇪🇺🇺🇦@lugaricano

We stopped everything to write an answer (link below) to Paul Krugman's two posts of today (one informal, one with a simple model) arguing that Europe is broadly not falling behind the United States. The change measured by the Draghi report, he argues, is mostly due to growth in the technology industry, which has distorted GDP numbers without actually leading to higher standards of living. We should believe our eyes when we walk around France and walk around Mississippi. Krugman is wrong. The measures he uses understate European stagnation. This matters enormously. Divergence with the United States is the strongest evidence for reform in Europe. 1. The growth numbers Krugman compares the United States, France, and Germany at purchasing power parity in current prices. On that measure, France's and Germany's position relative to America has been roughly constant since 2000. But current price comparisons miss productivity gains in sectors where prices fall. If America produces twice as much software while the price of each unit halves, the value of American software output looks unchanged even though the volume has doubled. Most economists therefore use constant prices, which fix the base-year PPP level and apply each country's real output growth on top of it. American output growth has concentrated in tech, where prices have fallen tremendously as productivity rises. In terms of the volume of things produced, America has pulled away from Europe. 2. Is it all the tech industry? Krugman concedes this tech divergence but says it is not welfare-relevant. The American growth lead is an accounting artefact of measuring more iPhones at base-year prices, not a sign that Americans are actually richer, because Europeans buy the same iPhones at the same world prices. This is not the right way to think about the world today, as an earlier Paul Krugman would have argued. His model assumes tradable goods, interchangeable workers, marginal-cost pricing, and no profits. Each assumption fails. Most of what households buy is non-tradable: housing, healthcare, childcare, education. When American tech firms bid workers from haircutting to coding, American haircut wages rise. Germany has no growing tech sector to do the bidding, so German wages stay flat. Technology is not priced at marginal cost. Apple's margins are around 40 percent. Anthropic's inference margins are at 70 percent. The major platforms enjoy network effects, switching costs, and lock-in that hold prices well above what a competitive market would deliver. A large share of the productivity gains in technology stays as profit. A lot of the value of American technology dominance shows up in equity, not in wages. Apple, Microsoft, Nvidia, Alphabet, Meta, and Amazon together are worth $21 trillion, more than the entire combined stock market value of all European stock markets. Around 60 percent of US equity is held by American households. The median French or Spanish household holds almost no equity. The median employee at Meta, a company with almost 80,000 employees, earned $388,000 in 2025. This advantage is not going to go away. Krugman's own 1991 paper, cited in his Nobel prize, showed that comparative advantage in modern industries is produced by increasing returns to scale, specialized labor markets, supplier networks and the agglomeration of suppliers, workers, and ideas in particular places. Once an industry concentrates somewhere, the concentration is self-reinforcing. Europe is being pushed away from the next round of technology industries (AI!). 3. What about inequality? Another retort is that GDP per capita hides substantial inequality, and so even if America is rich on average, this is mostly due to the super wealthy. But despite the US's high pre-tax income inequality, it also achieves higher median incomes than Europe, in part because of such a high base, and in part because it actually redistributes more than many European countries. The cleanest comparison is median equivalised disposable household income: income after cash taxes and transfers, adjusted for household size and purchasing power. According to the OECD's 2021 numbers, the median American earns 30 percent more than the median Dutchman, about 31 percent more than the median German, and about 52 percent more than the median Frenchman. 4. What about hours worked? Krugman points out that while American GDP per person is higher, most of this is because Americans work more. For this divergence to be an hours worked story, Americans must work more relative to Europeans now than they did in 2000. The opposite has happened. Birinci, Karabarbounis, and See in a 2026 NBER paper show that about half of the American-European hours gap that existed in the 1990s has reversed by the end of the 2010s. Americans work fewer hours per person than they did in 2000, while most Europeans work more. 5. Is America not a bad place to live? Walk around Alabama and France: surely the former cannot be substantially richer than the latter? American cities often have poorer centres and richer suburbs or exurbs. European cities preserve richer and more attractive historic cores. A visit to a city as a tourist in America compared with a city in France will leave one having seen different spots on the income distribution. Americans in Europe go to the nicest and richest European cities. Rather than a walking around test, do a driving around test. Go to the periphery of any modern American city and see a level of new-built material wealth that is extremely uncommon in Europe, with thousands of enormous four- or five-bedroom homes. In the South, in places like Nashville and Austin, drive around the downtowns to see hundreds of luxury apartment buildings springing from the ground. This construction boom is replicated virtually nowhere in Europe today. The other question is generational. Housing often costs more in Europe than in the United States, despite the quality of the housing stock generally being much better. Europe has nice city cores but these are inaccessible to young Europeans. Consider the salaries available to entry-level workers. The starting pay for a London police officer is $57,000. In Washington, DC, $75,000. The entry-level Deloitte consultant job in Madrid pays around €28,000, roughly $33,000 per year. In Charlotte, the entry-level Deloitte job pays $63,000. There are many things to dislike about life in America. But relative to 25 years ago, the gap in material wealth has shifted dramatically in America's favor. siliconcontinent.com/p/european-sta…

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Florian Ederer
Florian Ederer@florianederer·
Ideas aren't getting harder to find after all. Patenting output per R&D dollar is flat or even rising over time. There is no secular decline in innovation. But productivity and firm growth have become much harder to sustain and diffuse across the economy.
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teddy sovereign
teddy sovereign@tmistmm·
Will have to revisit some others to complement these. kleinberg and tardos being an obvious one for the last handbook.
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teddy sovereign
teddy sovereign@tmistmm·
in no particular, some nf readings for the upcoming summer
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Oliver Hanney
Oliver Hanney@oliverhanney·
Why has @rodrikdani changed his mind on manufacturing? Really excited for this live episode of the Ideas in Development podcast, taking place next week on Wednesday May 20th (2pm UK). Dani is joining me to discuss his evolving views, the evidence that changed his mind & more.
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Jeffrey J. Hall 🇯🇵🇺🇸
One sees hateful social media accounts posting on a daily basis about how Japan's Muslim residents, who are mostly law-abiding Indonesians, are going to "destroy" Japan. Meanwhile, the Japan government has officially warned Japanese tourists to stop raping Indonesian children.
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Kyodo News | Japan@kyodo_english

Japan warns nationals not to engage in child exploitation in Indonesia english.kyodonews.net/articles/-/759…

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teddy sovereign
teddy sovereign@tmistmm·
@beverlymantle1 bingo. It’s sort of what motivated ppl like Mirowski to write Knowledge We Lost and give markets its due theoretical significance in that JEBO article.
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beverlymantle
beverlymantle@beverlymantle1·
that form their price-determining preferences & technologies independently of one another. No information is added by 'the market' itself - as something other than the set of independent agents & their optimization programs - other than the fact that prices exist.
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beverlymantle
beverlymantle@beverlymantle1·
I find it rather curious that people often say things like "prices are emergent market phenomena." It seems true on an intuitive level (& I think it is true), but it isn't how markets are modeled in general equilibrium. 'The market' is an aggregation, not an irreducible in GE.
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Steven N. Durlauf
Steven N. Durlauf@sndurlauf·
Some quick reactions to the BLS report 1. The labor market continues to exhibit general stasis. The 115000 increase in jobs exceeded expectations, which the main reason for a more positive view. However, wage growth (average hourly earnings) was lower than expected at 0.2%, which mean real wages falling, and unemployment remained steady at 4.3%. These are not blowout numbers, despite some claims of that form. 2. Underlying the overall stability are some important demographic differences. African American unemployment increased from 7.1% to 7.3%. 3. Important sectoral heterogeneities are present. Health care continues to lead the job numbers. The loss of 13000 jobs in the information sector suggest possible AI effects. Manufacturing slightly declined, so tariff policies still a failure with respect to their putative justification.
The New York Times@nytimes

Breaking News: The U.S. added 115,000 jobs in April and the unemployment rate stayed at 4.3%, a solid reading for the labor market. nyti.ms/498PEaH

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Probability and Statistics
Benjamin Golub is a leading economist whose work has significantly influenced network economics, social learning, and information diffusion. His research focuses on how network structures shape collective behavior, economic outcomes, and decision-making in large interconnected systems. Golub’s work combines ideas from economics, probability, graph theory, and game theory to study how information and influence propagate through social and economic networks. One of his major contributions is the analysis of social learning in networks, showing how the position of individuals within a network affects long-run beliefs and consensus formation. His research demonstrated that highly central agents can disproportionately influence collective outcomes, linking network centrality with economic power and information aggregation. Golub also contributed to understanding strategic interaction in large networks, peer effects, diffusion processes, and market design. His models are widely applied in finance, online platforms, recommendation systems, epidemiology, and multi-agent systems. In modern AI and machine learning, network-based learning and graph neural networks echo many of the principles studied in his economic network models. @ben_golub
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Jeffrey Wooldridge
Jeffrey Wooldridge@jmwooldridge·
Why are Arsenal doing this to me? 🥵
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