Showing stat.MEShow all
2 papers · 1 filter
stat.ME2025
Valid Inference when Testing Violations of Parallel Trends for Difference-in-Differences
Jonas M. Mikhaeil, Christopher Harshaw
The difference-in-differences (DID) research design is a key identification strategy which allows researchers to estimate causal effects under the parallel trends assumption. While…
stat.ME2024
Hierarchical Bayesian Models to Mitigate Systematic Disparities in Prediction with Proxy Outcomes
Jonas Mikhaeil, Andrew Gelman, Philip Greengard
Label bias occurs when the outcome of interest is not directly observable and instead, modeling is performed with proxy labels. When the difference between the true outcome and the…