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Bayesian Analysis of Linear Contracts

Tal Alon, Paul Duetting, Yingkai Li, Inbal Talgam-Cohen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We study a generalization of both the classic single-dimensional mechanism design problem, and the hidden-action principal-agent problem of contract theory [c.f., Alon et al. 2021]. In this setting, the principal seeks to incentivize an agent with a private Bayesian type to take a costly action. The goal is to design an incentive compatible menu of contracts which maximizes the expected revenue.

Original languageEnglish
Title of host publicationEC 2023 - Proceedings of the 24th ACM Conference on Economics and Computation
Pages66
Number of pages1
ISBN (Electronic)9798400701047
DOIs
StatePublished - 9 Jul 2023
Event24th ACM Conference on Economics and Computation, EC 2023 - London, United Kingdom
Duration: 9 Jul 202312 Jul 2023

Publication series

NameEC 2023 - Proceedings of the 24th ACM Conference on Economics and Computation

Conference

Conference24th ACM Conference on Economics and Computation, EC 2023
Country/TerritoryUnited Kingdom
CityLondon
Period9/07/2312/07/23

Keywords

  • approximation
  • contract theory
  • simple vs optimal contracts

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Economics and Econometrics
  • Computational Mathematics
  • Statistics and Probability

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