Difference-in-Differences with Staggered Treatment Timing
Maurice Bailey and
John Kendall
Journal of Economics and Econometrics, 2021, vol. 64, issue 3, 69-102
Abstract:
Staggered treatment timing poses challenges to identify the treatment effect because the post-period dummy is not defined for control observations. Usually, researcher exploit variation in treatment timing and employ the two-way fixed effects model; differences in when units received treatment contribute to identification. Given that difference-in-differences analysis with staggered treatment timing are likely to be biased in the presence of treatment effect heterogeneity, we propose a methodology to correct for the bias induced by the staggered nature of policy adoption.
Keywords: Difference-in-differences; variation in treatment timing; dynamic treatment effects. (search for similar items in EconPapers)
JEL-codes: C13 C18 C21 C22 C23 (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://ideas.repec.org/a/eei/journl/v64y2021i3p69-102.html
Full text for ScienceDirect subscribers only
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:eei:journl:v:64:y:2021:i:3:p:69-102
Access Statistics for this article
More articles in Journal of Economics and Econometrics from Economics and Econometrics Society Contact information at EDIRC.
Bibliographic data for series maintained by Julia van Hove ().