4 papers
Implicit Incentive Provision with Misspecified Learning
Federico Echenique, Anqi Li
We study misspecified Bayesian learning in principal-agent relationships, where an agent is assessed by an evaluator and rewarded by the market. The agent's outcome depends on thei…
A General Framework for Estimating Preferences Using Response Time Data
Federico Echenique, Alireza Fallah, Michael I. Jordan
We propose a general methodology for recovering preference parameters from data on choices and response times. Our methods yield estimates with fast ( for data points) con…
Prestige in Numbers: How Test Scores and Choices Reveal School Rankings
Federico Echenique, Michael Olabisi
This paper introduces a novel revealed-preference approach to ranking colleges and professional schools based on applicants' choices and standardized test scores. Unlike traditiona…
Closure operators: Complexity and applications to classification and decision-making
Hamed Hamze Bajgiran, Federico Echenique
We study the complexity of closure operators, with applications to machine learning and decision theory. In machine learning, closure operators emerge naturally in data classificat…