Spring 2010

GOV 380R • Math Methods for Political Analysis

Course Description

This course introduces the mathematical concepts and methods essential for multivariate statistical analysis and formal political theory. Mathematical topics include reviews of basic calculus and linear algebra, eigenvalues and eigenvectors, quadratic forms, vector and matrix differentiation, unconstrained optimization, constrained optimization, and difference and differential equations. Applications in multivariate statistical analysis include multiple regression, principal component analysis, factor analysis, etc., and their estimation in matrix form. Applications in formal political theory include equilibrium analysis, dynamic analysis, and spatial analysis.

Grading Policy

1. Homework Assignments: 40% 2. Final Project: 60%

Texts

1. Alpha C. Chiang and Kevin Wainwright. 2004. Fundamental Methods of Mathematical Economics, 4th ed. McGraw-Hill/Irwin. 2. J. Douglas Carroll and Paul E. Green. 1997. Mathematical Tools for Applied Multivariate Analysis. Revised ed. Academic Press. 3. (Optional) Jeff Gill. 2006. Essential Mathematics for Political and Social Research. Cambridge. 4. (Optional) John Fox. 2009. A Mathematical Primer for Social Statistics. Sage.

back