Professor Hong focuses on developing causal inference theories and methods for evaluating educational and social policies and programs in multi-level, longitudinal settings. Her work addresses issues including (1) how to conceptualize and evaluate the causal effects of treatments when individual responses to alternative treatments depend on various features of the organizational settings, (2) how to adjust for selection bias in estimating the effects of concurrent multi-valued treatments, (3) how to evaluate the cumulative effects of time-varying treatments, and (4) how to conceptualize and analyze the causal mediation mechanisms.

Read more about Professor Hong here.