A Flexible, Heterogeneous Treatment Effects Difference-in-Differences Estimator for Repeated Cross-Sections
Partha Deb,
Edward Norton,
Jeffrey Wooldridge and
Jeffrey Zabel
No 33026, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
This paper proposes a method to estimate treatment effects in difference-in-differences designs in which the treatment start is staggered over time and treatment effects are heterogeneous by group, time, and covariates, and when the data are repeated cross-sections. We show that a linear-in-parameters regression specification with a sufficiently flexible functional form consisting of group-by-time treatment effects, two-way fixed effects, and interaction terms yields consistent estimates of heterogeneous treatment effects under general conditions. The estimates are efficient and aggregation of treatment effects and inference are straightforward. We call it FLEX, because it is a flexible linear model estimated by OLS with covariates (X). We illustrate the use of FLEX with two empirical examples and provide comparisons to other recently derived estimators.
JEL-codes: C01 C21 C50 (search for similar items in EconPapers)
Date: 2024-10
New Economics Papers: this item is included in nep-mac
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