Dynamic Difference-in-Differences with Interference
Abstract
Interference/spillover is a common concern in place-based policy evaluation. This paper develops a difference-in-differences framework that accounts for interference using panel data with multiple posttreatment periods and potentially staggered treatment adoption. I define causal parameters under interference, establish identification under a modified parallel trends assumption, and propose doubly robust estimators with valid inference. The method is illustrated through an empirical application.
Fields of Study & Subjects
Advanced Causal Inference Techniques
Spatial and Panel Data Analysis
Gender
Labor
and Family Dynamics
Publication details
- Journal / source
- AEA Papers and Proceedings
- Publisher
- American Economic Association
- Volume
- 116
- Pages
- 58–63
- Publication date
- 1 May 2026
- Language
- EN