Difference-in-Differences Analysis Online

Run difference-in-differences (DiD) in your browser to compare changes before and after a policy or intervention in treatment and control groups.

Prepare outcome, group, and time variables. Choose an estimator for your treatment timing, examine the parallel trends assumption, and check how standard errors are specified.