PADM 6920 - Quantitative Data Analysis II

This course provides an introduction to regression analysis and an overview of limited dependent variable regression and generalized least squares regression. The purpose of the course is to develop a basic statistical competency enabling the student to apply various statistical methods and concepts in the development and evaluation of statistical assertions. Topics may include ordinary least squares, probit and logit regression, time series and panel data models, and instrumental variables regressions as well as model specification, diagnostics, and remedial measures for missing variables, multi-collinearity, and heteroskedasticity. Application of these techniques in a variety of public administration and policy settings will be emphasized.

Prerequisites/Corequisites: Prerequisite: PADM 6070 with a grade of “B” or better.

Credits: 3 hours

Notes: Open to graduate students only.