PP 487L - Applied Data Analysis: Limited Dependent Variables and MLE

This course deals with more advance topics in the use of statistical methods beyond ordinary least squares (OLS) estimation, with emphasis on applied analysis of political data in the R computing environment. Topics include: highlighting the fundamental problem of causal inference, shortcomings of OLS regression estimation for limited dependent variables (LDVs), the properties of maximum likelihood estimation (MLE), and application of MLE models (i.e., binomial, unordered and ordered multinomial, and event count models) to political science research questions leveraging these LDVs.
Units: 4
Prerequisites: PP481 & PP482 OR Econ382 & Econ383
Course Type: Seminar