papers
Publications (3)
stat.ME2021
Moving beyond the classic difference-in-differences model: A simulation study comparing statistical methods for estimating effectiveness of state-level policies
Beth Ann Griffin, Megan S. Schuler, Elizabeth A. Stuart +7
State-level policy evaluations commonly employ a difference-in-differences (DID) study design; yet within this framework, statistical model specification varies notably across stud…
stat.ME2025
Autoregressive models for panel data causal inference with application to state-level opioid policies
Joseph Antonelli, Max Rubinstein, Denis Agniel +8
Motivated by the study of state opioid policies, we propose a novel approach that uses autoregressive models for causal effect estimation in settings with panel data and staggered…
stat.ME2021
Estimating effects within nonlinear autoregressive models: a case study on the impact of child access prevention laws on firearm mortality
Matthew Cefalu, Terry Schell, Beth Ann Griffin +2
Autoregressive models are widely used for the analysis of time-series data, but they remain underutilized when estimating effects of interventions. This is in part due to endogenei…