SDID: Stata module to perform synthetic difference-in-differences estimation, inference, and visualization

Daniel Pailañir (), Damian Clarke and Diego Ciccia ()
Additional contact information
Daniel Pailañir: Universidad de Santiago de Chile

Statistical Software Components from Boston College Department of Economics

Abstract: The sdid command implements the synthetic difference-in-differences method of Arkhangelsky et al. (AER, 2021) for Stata. The program generates the ATT estimate derived in Arkhangelsky et al. (2021), and conducts inference following their bootstrap, placebo, or jackknife methods. The command allows for multiple treatment dates and multiple treatment units directly, as well as cases with only a single treatment unit. As well as estimation and inference, the sdid command includes a number of graphical output options to summarize the synthetic difference-in-differences estimator.

Language: Stata
Requires: Stata version 13
Keywords: difference-in-differences; DiD; synthetic; Arkhangelsky (search for similar items in EconPapers)
Date: 2022-04-04, Revised 2024-08-16
Note: This module should be installed from within Stata by typing "ssc install sdid". 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.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/s/sdid.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/sdid.sthlp help file (text/plain)

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:bocode:s459058

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().