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Lectures in Research Methods in Microeconomics - Ph.D. Sapienza School of Economics
TEACHING MATERIAL A.A. 2022/2023
Basics Concepts of Game Theory
Strategic, Extensive, Coalitional and Network Form Games
Existence of a Nash Equilibrium for Finite and Infinite Games
Applications to Quantity and Price Oligopoly Games
Mixed Strategy Nash Equilibria
Refinements of Nash Equilibria: Subgame Perfectness, Trembling Hand Perfectness,
Evolutionary Stability, Social Norms of Behavior
Bayesian Games, Harsanyi's Transformation and Bayesian Nash Equilibrium
Slides: Lectures 1-2-3
Some Suggested Open Source References:
Nolan McCarty and Adam Meirowitz, (2007), Political Game Theory. Princeton University Press (available here)
Martin J. Osborne and Ariel Rubinstein (2020) Models in Microeconomic Theory (available here)
Yoav Shoham and Kevin Leyton-Brown, Multiagent Systems, Algorithmic, Game-Theoretic, and Logical Foundations (available here)
TEACHING MATERIAL A.A. 2020/2021
Slides
Program - Microeconomics
Academic Year 2020-2021 - Prof. MARCO A. MARINI
The aim of this course is to introduce the basic ingredients underlying the
theory of choice in atomistic as well as in strategic environments.
DETAILED PROGRAM
1. Introduction
Individual, Strategic and Behavioral Models in Microeconomics
2. The Theory of Choice
Finite Sets of Actions and Outcomes
Continuous Outcome Spaces
Utility Theory
Utility representations on Continuous Outcome Spaces
Spatial Preferences
3. Choice Under Uncertainty
The Finite Case
Risk Preferences
Critiques of Expected Utility Theory
4. Basic Game Theory
Strategic, Extensive and Coalitional Form Games
Solutions to Normal Form Games
Pure and Mixed Strategy Nash Equilibria
Refining Nash Equilibria
Evolutionary Stability
Social Norms of Behavior
Suggested References:
Nolan McCarty and Adam Meirowitz, (2007), Political Game Theory. Princeton University Press, chapters 2-3 (available here)
Martin J. Osborne and Ariel Rubinstein (2020) Models in Microeconomic Theory, chapters 1-2.(available here)
Yoav Shoham and Kevin Leyton-Brown, Multiagent Systems, Algorithmic, Game-Theoretic, and Logical Foundations,
chapter 3. (available here)
TEACHING MATERIAL A. A. 2019/2020
Slides
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