AEM 7020

AEM 7020

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.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: ECON 6115NRE 5030

  • 3 Credits GradeNoAud

  •  8670 AEM 7020   LEC 001

  • Instruction Mode: In Person
    Enrollment limited to first-year PhD students in AEM.