Prerequisites: graduate standing or consent of instructor
Description: Imparts methodological skills necessary to advance quantitative-macro comparative social science. Begins with the logic and trans-methodological concerns of macro- comparative analysis. Quantitative methods covered include models for static time-series cross-section and panel data, dynamic panel data, nested data, structural equations, social networks, identification/causality and techniques for testing conditional hypotheses and visualization.
Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor.