STAGGERED: Stata module implementing R staggered package based on Roth and Sant'Anna (2023)

Mauricio Caceres Bravo (), Jonathan Roth and Pedro Sant'Anna ()
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Mauricio Caceres Bravo: Brown University

Statistical Software Components from Boston College Department of Economics

Abstract: The staggered package computes the efficient estimator for settings with randomized treatment timing, based on the theoretical results in Roth and Sant'Anna (2023). If units are randomly (or quasi-randomly) assigned to begin treatment at different dates, the efficient estimator can potentially offer substantial gains over methods that only impose parallel trends. The package also allows for calculating the generalized difference-in-differences estimators of Callaway and Sant'Anna (2020) and Sun and Abraham (2020) and the simple-difference-in-means as special cases. This is the Stata version of the R package of the same name.

Language: Stata
Requires: Stata version 14.1
Keywords: staggered treatment; generalized DiD (search for similar items in EconPapers)
Date: 2023-06-03, Revised 2025-02-05
Note: This module should be installed from within Stata by typing "ssc install staggered". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/s/staggered.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/staggered.mata program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/staggered.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/l/lstaggered.mlib Mata object code

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