Double-Robust Estimation in Difference-in-Differences with an Application to Traffic Safety Evaluation

18 Mar 2019 Li Fan Li Fan

Difference-in-differences (DID) is a widely used approach for drawing causal inference from observational panel data. Two common estimation strategies for DID are outcome regression and propensity score weighting... (read more)

PDF Abstract
No code implementations yet. Submit your code now

Categories


  • APPLICATIONS