AEM 7020
Last Updated
- Schedule of Classes - April 4, 2023 12:09PM EDT
- Course Catalog - April 3, 2023 12:59PM EDT
Classes
AEM 7020
Course Description
Course information provided by the Courses of Study 2022-2023.
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.
When Offered Spring.
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.
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
- MW Sage Graduate Hall B11
- Jan 23 - May 9, 2023
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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