AEM 7020

AEM 7020

Course information provided by the Courses of Study 2019-2020.

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.

Permission Note Enrollment limited to: first- or second-year PhD students in Applied Economics and Management or related field.

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.

View Enrollment Information

Syllabi:
  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  • 15370 AEM 7020   LEC 001

    • TR
    • Jan 21 - May 5, 2020
    • Waldman, M

  • Instruction Mode: Hybrid - Online & In Person
    The class will meet in Sage Hall B10.