Using Stata to implement simple difference-in-differences estimators for staggered interventions

Jeffrey Wooldridge

French Stata Users' Group Meetings 2022 from Stata Users Group

Abstract: I show how to use built-in Stata commands to implement simple regression-based and treatment effects-based estimators in the context of staggered interventions with panel data. Flexible models that allow substantial treatment-effect heterogeneity—with and without covariates—are easy to estimate in a variety of ways, including pooled OLS, doubly robust methods, and matching estimators. The framework can be used to both test for and correct for failure of the parallel trends assumption.

Date: 2022-08-01
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:fsug22:27

Access Statistics for this paper

More papers in French Stata Users' Group Meetings 2022 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().