Yongnam Kim

  • Assistant Professor

Areas of Expertise

  • Quasi-experimental designs (matching, propensity score methods, difference-in-differences, fixed effects models, instrumental variables method)
  • Causal inference theory (causal graphical models and potential outcomes)
  • Causal mediation analysis

Bio

Yongnam Kim earned his Ph.D. in educational psychology from the University of Wisconsin-Madison and was most recently a post-doctoral research scholar at the Center for Demography and Ecology at the same university. His research interests focus on causal inference in educational and psychological research that includes quasi-experimental designs (matching, propensity score methods, difference-in-differences, fixed effects models, instrumental variables method), causal mediational analysis, causal graphical models (directed acyclic graphs), and causal discovery.