NRE 5030
Last Updated
- Schedule of Classes - June 21, 2024 12:50PM EDT
- Course Catalog - June 6, 2024 12:59PM EDT
Classes
NRE 5030
Course Description
Course information provided by the 2024-2025 Catalog. Courses of Study 2024-2025 is scheduled to publish mid-June.
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.
Last 4 Terms Offered (None)
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: AEM 7020, ECON 6115
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
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Class Number & Section Details
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Meeting Pattern
- TR
- Jan 21 - May 6, 2025
Instructors
Waldman, M
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Additional Information
Instruction Mode: In Person
Enrollment limited to: graduate students.
Add/Drop Dates: 9:00 am, January 16, 2024 - 11:59 pm, February 5, 2024. Students will be assessed a $100 late fee and be required to obtain faculty permission to add/drop after February 5, 2024. If you drop after March 18, 2024, you will also receive a "W" on your transcript in addition to the late fees.Instructor Consent Required (Add)
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