10 citations · 29 across the 10 of their papers we have counts for
10 papers
Information and Learning in Economic Theory
Annie Liang
These lecture notes accompany a one-semester graduate course on information and learning in economic theory. Topics include common knowledge, Bayesian updating, monotone-likelihood…
The Transfer Performance of Economic Models
Isaiah Andrews, Drew Fudenberg, Lihua Lei +2
Economists often estimate models using data from a particular domain, e.g. estimating risk preferences in a particular subject pool or for a specific class of lotteries. Whether a…
Algorithm Design: A Fairness-Accuracy Frontier
Annie Liang, Jay Lu, Xiaosheng Mu +1
Algorithm designers increasingly optimize not only for accuracy, but also for the fairness of the algorithm across pre-defined groups. We study the tradeoff between fairness and ac…
How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories
Drew Fudenberg, Wayne Gao, Annie Liang
We propose a restrictiveness measure for economic models based on how well they fit synthetic data from a pre-defined class. This measure, together with a measure for how well the…
Measuring the Completeness of Theories
Drew Fudenberg, Jon Kleinberg, Annie Liang +1
We use machine learning to provide a tractable measure of the amount of predictable variation in the data that a theory captures, which we call its "completeness." We apply this me…
Games of Incomplete Information Played By Statisticians
Annie Liang
Players are statistical learners who learn about payoffs from data. They may interpret the same data differently, but have common knowledge of a class of learning procedures. I pro…
Dynamically Aggregating Diverse Information
Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis
An agent has access to multiple information sources, each of which provides information about a different attribute of an unknown state. Information is acquired continuously -- whe…
Overabundant Information and Learning Traps
Annie Liang, Xiaosheng Mu
We develop a model of social learning from overabundant information: Short-lived agents sequentially choose from a large set of (flexibly correlated) information sources for predic…
The Theory is Predictive, but is it Complete? An Application to Human Perception of Randomness
Jon Kleinberg, Annie Liang, Sendhil Mullainathan
When we test a theory using data, it is common to focus on correctness: do the predictions of the theory match what we see in the data? But we also care about completeness: how muc…
Optimal and Myopic Information Acquisition
Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis
We consider the problem of optimal dynamic information acquisition from many correlated information sources. Each period, the decision-maker jointly takes an action and allocates a…