Year: 2025
Type: article
Abstract: This paper examines players’ behavior in Bayesian games when they may have incorrect beliefs about their opponents’ types. Their behavior can be characterized by a type distribution function and a belief function if their actions across games satisfy four conditions: Dominance, Monotonicity, Continuity, and Linearity. Both the type distribution function and players’ shared belief can be identified from their aggregate behavior across games. The analyst can also test if players’ beliefs are accurate with action data only.
Source: Economic Theory
Author: Mengke Wang
Institution: The University of Sydney
Language: English
Topic: Game Theory and Applications
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,090
Funder: University of Sydney
OpenAlex ID: W4410884445