A Meta-learner for Heterogeneous Effects in Difference-in-Differences

Hui Lan, Haoge Chang, Eleanor Dillon +1

We address the problem of estimating heterogeneous treatment effects in panel data, adopting the popular Difference-in-Differences (DiD) framework under the conditional parallel tr…