Published April 11, 2023 | Version Updated
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Cursed Sequential Equilibrium

Abstract

This paper develops a framework to extend the strategic form analysis of cursed equilibrium (CE) developed by Eyster and Rabin (2005) to multi-stage games. The approach uses behavioral strategies rather than normal form mixed strategies, and imposes sequential rationality. We define cursed sequential equilibrium (CSE) and compare it to sequential equilibrium and standard normal-form CE. We provide a general characterization of CSE and establish its properties. We apply CSE to five applications in economics and political science. These applications illustrate a wide range of differences between CSE and Bayesian Nash equilibrium or CE: in signaling games; games with preplay communication; reputation building; sequential voting; and the dirty faces game where higher order beliefs play a key role. A common theme in several of these applications is showing how and why CSE implies systematically different behavior than Bayesian Nash equilibrium in dynamic games of incomplete information with private values, while CE coincides with Bayesian Nash equilibrium for such games.

Additional Information

Grants from the National Science Foundation (SES-0617820) and the Gordon and Betty Moore Foundation (1158) supported this research. We are grateful to Shengwu Li and Shani Cohen for recent correspondence that helped to clarify the differences between the CSE and SCE approaches to the generalization of cursed equilibrium for dynamic games. We thank participants of the Caltech Proseminar and Colin Camerer for comments and Matthew Rabin for earlier discussions on the subject during his visit at Caltech as a Moore Distinguished Scholar.

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Additional details

Identifiers

Eprint ID
118966
Resolver ID
CaltechAUTHORS:20230127-215732171

Funding

NSF
SES-0617820
Gordon and Betty Moore Foundation
GBMF1158

Dates

Created
2023-01-27
Created from EPrint's datestamp field
Updated
2023-04-12
Created from EPrint's last_modified field

Caltech Custom Metadata

Caltech groups
Social Science Working Papers
Series Name
Social Science Working Paper
Series Volume or Issue Number
1465