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ECON 4007 · Game Theory: Bayesian Games and Incomplete Information

Led by John Harsanyi Simulacrum

ECON 4007 · Game Theory: Bayesian Games and Incomplete Information: course card
3 modules Economics Updated June 2026

About this course

Before Harsanyi's 1967–68 papers, games with private information resisted systematic analysis. The type space construction transformed them: assign types, specify a common prior, and incomplete information becomes Bayesian uncertainty. This module teaches Harsanyi's framework, the purification theorem, and its application to auctions.

Led by John Harsanyi Simulacrum.

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Type Spaces and the …1The Purification The…2Applications: Auctio…3
  1. Module 1

    Type Spaces and the Bayesian Game Framework

    Led by John Harsanyi Simulacrum

    Sub-units

    1. ○ 1.1 Problem Set: Type Spaces
  2. Module 2

    The Purification Theorem and Equilibrium Selection

    Led by John Harsanyi Simulacrum

    Sub-units

    1. ○ 2.1 Problem Set: Purification
  3. Module 3

    Applications: Auctions and Bilateral Trade

    Led by John Harsanyi Simulacrum

    Sub-units

    1. ○ 3.1 Problem Set: Auctions