The Nobel Prize in economics went to theorists who made major contributions to our understanding of how to design auctions.
If it seems far from you, it should not. Auction theory is one of the major successes in economics which had very large real world implications. (Thread)
Economists are known to like markets. Markets are a way to allocate resources. But they are not the only one. Auctions are another way to organise who get what, at what price. You are surely familiar with art auctions, housing auctions, or eBay auctions.
But really the notion of auction is very broad. Contests such as sporting matches, legal battles, political races, grant applications can also be conceived as auctions where contestants bid resources in the hope of securing a prize. link.springer.com/article/10.100…
Most importantly, auction theory has helped governments to get major companies to pay the right price for public goods such as airwaves.
In the USA, auction theorists, and Milgrom and Wilson in particular, played a major role in the design of the spectrum auctions.
In Europe, auction theorists played a major role in extracting billion of euros from telecom companies when selling 3G licences. The UK auctions were a great success and the 39 billion euros collected went into the public coffers.
Excellent history here:sciencedirect.com/science/articl…
Today auction design is key in many important areas. One of them is the management of environmental resources.
Economics has often been accused of being disconnected from reality with its abstract theory of pure markets. But the theory of auction design is clearly one of the areas where economics has been the most relevant and impactful.
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And a plug to my great colleagues at @UTS_Economics who contribute to this field of research: @isaeminhafalir, Antonio Rosato, Jingjing Zhang, Jun Zhang, Benjamin Balzer.
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Suppose you could improve Twitter as a public platform, what feature would you add (or remove)?
I would suggest for Twitter to give users the freedom to adjust the parameters of the recommendation algorithm. Something like:
Emotions:
😱—————|——🤗
Seriousness:
🧐—|—————— 😂
Political content:
🗳—————|——❌
Outrage:
🤬——————|—😎
Why? People may be enticed to click on the posts promoted by the default algorithm. But they may regret wasting their time that way, and they could *prefer* different content.
How efficient markets are vs how efficient economists believe they are: our paper looking at more than 600 experimental markets is just accepted at @RevOfFinStudies!
Markets are “strongly efficients” if prices reflect *all* the private and public information available.
They are “semi-strongly” efficient if they only reflect all the public information.
Economists tend to think that financial markets are fairly informationally efficient. 2/
With my colleague Christoph Siemroth, we had previously found that experimental markets’ prices can have seemingly paradoxical properties: they are on average equal to the fundamental value, but they often differ from the existing information! 3/ sciencedirect.com/science/articl…
What are the chances that Biden will beat Trump in November?
That's an important question, but do we even know what it means?
A thread on what it means to forecast probability.
Another prediction is given by betting markets. On Betfair, Biden's odds to win are 1.83. The odds are the inverse of the probability, so according to Betfair's market, Biden has 1/1.83=54.6% chances to win in November.
An interesting thread (by my old friend @mioana) criticising how economists study discrimination. There are very good points in it.
I'll defend that the economic approach is important to address discrimination. But we should also be careful about how it can be used.
(thread)
First, let's point that economists are not ignoring discrimination, on the contrary. They study it a lot with the best tools they have such as laboratory and field experiments:
Theoretically, economists typically distinguish two types of discriminations:
- Taste based: "I do not like these people"
- Belief based: "I believe these people are not as good as others" (also called "statistical discrimination")
Why is the US police so lethal? One thing which sets the US apart is their number of guns in circulation. So I plotted the police killings with the number of registered firearms by state. There is a visible correlation. 1/
It is hard to understand how much the US stand out with their number of firearms in circulation without visualising it. washingtonpost.com/news/wonk/wp/2…
This large presence of firearms in the population makes policing dangerous.
The disproportionate use of pre-emptive violence by US police officers is likely influenced by the possibility for anybody to carry a gun. cnbc.com/2020/06/01/geo…