4/But the fact that the prize was given for auction theory shows how the field of economics is changing.
Auction theory, unlike many econ theories, makes mathematically precise and accurate predictions that can be used to create real-world technologies that really work!
5/Many econ theories are just mathematical parables. They have equations in them, but the variables don't correspond exactly to real things.
For example, take Milgrom's model of financial market trading (with Lawrence Glosten):
5/This model separates traders into several distinct types -- informed traders, market makers, and noise traders. That's a useful way to think about asymmetric information in trading! But in real life, people aren't neatly divided into those types.
6/Auction theory is different. Unlike stylized models that tell stories, auction theory can make quantitative predictions. And that can help people design auctions that yield consistently better outcomes.
7/Getting auction theory right is complicated and difficult, because auctions themselves are complicated and difficult. That's why Milgrom and Wilson's work was so impressive.
9/Nor is auction theory the only kind of economic theory that produces such precise, accurate, useful results. Matching theory, which won the Nobel in 2012, is another example.
10/Auction theory is one of several reasons that economists are getting jobs in the private sector. There are now econ theories that work so well in the real world that they're economically valuable.
Economists are becoming engineers.
11/As more economic interactions happen between computers, expect this trend to continue. Algorithms are pretty close to the idealized "homo economicus" that economists' theories are well-equipped to deal with.
12/John Maynard Keynes famously said: "If economists could manage to get themselves thought of as humble, competent people on a level with dentists, that would be splendid."
1/People sometimes ask me how I form my ideas about the world! Well, folks, there are basically two ingredients: Song lyrics, and data.
Just read a bunch of papers and articles and stuff, and try to relate it to song lyrics.
2/Let's go through an example: How the song "Kyoto", by Phoebe Bridgers, illustrates some of the problems with the American development model (infrastructure, education, and health).
3/We start the song in Japan, where the narrator (presumably, Phoebe herself) is utterly uninterested in the country or its culture, but finds bullet trains, pay phones (!!), and chain convenience stores pretty convenient.
1/Buildings in San Francisco that look like sand-colored rectangles: A thread
2/Let's start with Market Center, a tower complex that looks like it was designed by a 6-year-old boy learning to use the rectangle tool in Microsoft Paint:
3/Or 525 Market Street, which looks like the same kid's drawing, but several minutes later
I feel like to effectively run as a strongman, you actually have to...be strong?
Trump ran face-first into COVID, failed to protect the nation from a pandemic, failed to get the military to be his enforcers, and presided under an unprecedented decline in American power.
For example: The coefficient of relative risk aversion. If people don't have CRRA preferences, this isn't a structural parameter; it changes when risk changes. So if preferences aren't CRRA and you decide rho=2, you're going to run into problems...
Of course, the example everyone is thinking about is TFP. A certain Nobel-winning business cycle model (which shall remain nameless) famously assumed that the TFP residual is exogenous and follows an AR(1) process. That turned out to be wrong in any number of ways...
The % of people with no confidence in Xi Jinping is now over 70% in every country surveyed.
Japan (84%) and South Korea (83%) are the most negative on Xi.
Here's a longer-term picture.
Almost every country surveyed seems to have become more unfavorable towards China around 2012, when Xi took power. And then there was another big jump in unfavorability this year.