AEM 7020
Last Updated
- Schedule of Classes - November 13, 2024 8:41AM EST
- Course Catalog - November 12, 2024 10:26AM EST
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AEM 7020
Course Description
Course information provided by the 2023-2024 Catalog.
This course teaches the fundamentals of non-cooperative game theory and classic applications used in applied work in economics and related fields such as finance, marketing, operations, and accounting. The course begins with a brief primer on non-cooperative game theory that covers pure versus mixed strategies, Nash equilibrium, and various equilibrium refinements. Coverage then turns to basic frameworks that utilize game theory to model a wide range of settings in economics and related fields. These include agency analysis, classic asymmetric information models such as adverse selection and signaling, time inconsistency, and repeated games and reputation.
Outcomes
- Students will be able to read and interpret applied game theory models that appear in the economics literature.
- Students will be able to construct and solve game theory models that frequently appear in applied theory papers and empirical papers.
- Students will be able to explain basic economic concepts such as signaling, adverse selection, time inconsistency, competitive equilibrium, etc.
When Offered Spring.
Regular Academic Session. Combined with: ECON 6115, NRE 5030
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- TR Warren Hall 101
- Jan 22 - May 7, 2024
Instructors
Waldman, M
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Additional Information
Instruction Mode: In Person
Enrollment limited to first-year PhD students in AEM.
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