Course Overview

This course explores methods for causal inference in educational research. The two primary goals of the course are (1) to provide students with the analytic tools and skills to assess the quality of research claims in education, human development, and other substantive fields; and (2) to provide students with the skills to conduct research that supports causal inference. The course will introduce students to four core methods of quasi-experimental design: difference-in-differences, regression discontinuity, instrumental variables and matching. The course will culminate in either a research proposal or completed paper using one of the methods from the course. Prior coursework minimally through multiple regression and familiarity with a statistical programming language (preferably R) is assumed.

Meeting time and location

Mondays, 9:00am - 11:50am Lokey 115

Instructor

David D. Liebowitz