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Applied Game Theory

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Applied Game Theory
Applied Game Theory
Christophe Crombez

Crombez: Applied Game Theory.

1

Applied Game Theory
Introduction

Crombez: Applied Game Theory.

2

What is Game Theory?
• a way of analyzing strategic interactions • appropriate to study situations in which several people take decisions, and o their decisions affect each other’s payoffs • equivalent of decision theory o Crombez: Applied Game Theory.

3

Course Objectives
• introduce you to game theory to understand papers that use it, and o develop game-theoretical models yourselves • the focus is on solution concepts o theory o exercises o a few applications o Crombez: Applied Game Theory.

4

Contents
• Basic equilibrium concepts
Nash equilibria o Subgame perfection o Sequential equilibria • Applications o Bargaining o Entry deterrence o Repeated games o Crombez: Applied Game Theory.

5

Practicalities
• Five meetings • Text Book: Kreps, A Course in Microeconomic Theory,
Chapters 11-15 • Slides on Toledo • Homeworks • Exam: in January, written, open book, exercises

Crombez: Applied Game Theory.

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Applied Game Theory
Modeling Competitive Situations

Crombez: Doctoral Seminar.

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Outline
• • • • •
Decision Trees Game Trees (Extensive Forms) Formalities Normal Forms (Strategic Forms) Mixed Strategies

Kreps: Chapter 11

Crombez: Doctoral Seminar.

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Decision Trees
• • • •
Choice/decision nodes Chance nodes Branches A chance node precedes a choice node iff the uncertainty represented by that chance node resolves in the mind of the decision maker prior to the time at which the choice must be made.

Crombez: Doctoral Seminar.

9

Game Trees
• • • •
Nature Payoffs Information Sets If someone learns something (a move by nature or by another player) prior to making a decision, the node representing what is learned must precede the node where the decision is taken.

Crombez: Doctoral Seminar.

10

Formalities
• An extensive form

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