4 citations · 7 across the 4 of their papers we have counts for
4 papers
Small Samples and Short Panels: Evaluating Policy Evaluation Methods with Realistic Data
Luke Stewart, Gary Hettinger, Youjin Lee +1
Methods for estimating causal effects in longitudinal, quasi-experimental settings are widely used in economics, public health, political science, and other fields. However, studie…
Bayesian Sensitivity Analyses for Policy Evaluation with Difference-in-Differences under Violations of Parallel Trends
Seong Woo Han, Nandita Mitra, Gary Hettinger +1
Violations of the parallel trends assumption pose significant challenges for causal inference in difference-in-differences (DiD) studies, especially in policy evaluations where pre…
A Causal Framework for Evaluating Drivers of Policy Effect Heterogeneity Using Difference-in-Differences
Gary Hettinger, Youjin Lee, Nandita Mitra
Policymakers and researchers often seek to understand how a policy differentially affects a population and the pathways driving this heterogeneity. For example, when studying an ex…
Multiply Robust Difference-in-Differences Estimation of Causal Effect Curves for Continuous Exposures
Gary Hettinger, Youjin Lee, Nandita Mitra
Researchers commonly use difference-in-differences (DiD) designs to evaluate public policy interventions. While methods exist for estimating effects in the context of binary interv…