A Brief Introduction to Propensity Score Matching

ABSTRACT:

In the statistical analysis of observational data, propensity score matching (PSM) is a statistical matching technique that attempts to estimate the effect of a treatment, policy, or other intervention by accounting for the covariates that predict receiving the treatment. In this teaching seminar, I will introduce the evaluation framework of treatment effect and implementation of PSM. I will also share hands-on experience to apply PSM in empirical research.

BIODATA:

Li Zhuolun is a Ph.D. candidate of the Department of Information Systems in the School of Computing at National University of Singapore. His research interests include online community, social media, gamification, etc.

FACULTY DISCUSSANT: Assistant Professor OH Hyelim