PSCI6801 - Statistical Analysis for Political Science II

This course continues the exploration of statistical methods for analyzing political science data. It is a continuation of PSCI-692, although some of the topics covered in PSCI-692 are covered again in greater detail. We will cover the following topics: sampling, sampling distributions, expectation, basic linear algebra, multivariate regression, hypothesis testing, instrumental variables, non-standard standard error and data issues, quantile regression, maximum likelihood, limited dependent variables, selection models, and treatment effects. The class also focuses on teaching students programming skills using R.