Methods

Schedule: Mondays, 3:10-6:00 PM
Location: Room 320, Myasnitskaya 11

Course Description: In this course we cover research methods for political science in four distinct modules: 1) Prerequisites (two lectures), including calculus, probability theory, linear algebra, and basics of working with a statistical software 2) Fundamentals of regression analysis (five lectures): including bivariate and multiple regression analysis, diagnostics of inference and hypothesis testing, limited dependent variable regression analysis, and intro to regressions with time series and panel data 3) Panel data analysis, fixed and random effects, hierarchical and multilevel models, and policy evaluation methods in political science (five lectures) 4) Research Design including causal analysis methods, differences-in-differences, matching, regression discontinuity, and instrumental variable methods, controlled experiments, field experiments, and natural and quasi-experiments (four lectures)

Lecture Notes

Lecture 1
Lecture 2
Lecture 3
Lecture 4
Lecture 5
Lecture 6
Lecture 7
Lecture 8
Lecture 9
Lecture 10
Lecture 11
Lecture 12
Lecture 13
Lecture 14

Lecture Slides

Lecture 1
Lecture 2
Lecture 3
Lecture 4
Lecture 5
Lecture 6
Lecture 7
Lecture 8
Lecture 9
Lecture 10
Lecture 11
Lecture 12
Lecture 13
Lecture 14