PSC 585 - Dynamic & Computational Modeling

Institution:

University of Rochester

Subject:

Description:

The course provides theoretical and computational tools for the analysis and estimation of models of strategic interaction with an emphasis on dynamic games. In the first half of the course theory and numerical methods for dynamic programming, general dynamic games, and Markov chains are covered in some detail. In the second half we focus on issues of identification and estimation with an emphasis on efficient numerical algorithms. Non-parametric methods are discussed when applicable. Applications include but are not limited to models of bargaining, voting, and the non-parametric estimation of voter preferences. Some familiarity with a programming language is a plus, but the dedicated student should be able to acquire basic programming skills needed for the course.

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.rochester.edu

Phone Number:

(888) 822-2256

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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