4 papers · 1 filter
Compromise by "multimatum"
Federico Echenique, Matías Núñez
We propose a solution and a mechanism for two-agent social choice problems with large (infinite) policy spaces. Our solution is an efficient compromise rule between the two agents,…
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…
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…