DIDPARALLEL: Stata module to test parallel trends assumption for difference-in-differences models

Guanpeng Yan () and Qiang Chen
Additional contact information
Guanpeng Yan: Shandong University of Finance and Economics
Qiang Chen: Shandong University

Statistical Software Components from Boston College Department of Economics

Abstract: didparallel provides an easy implementation of event study for difference-in-differences (DID) models, where policy adoption may be synchronized or staggered. It only takes three simple steps: (1) estimate the DID model; (2) store the result; and (3) run didparallel by specifying the stored result and the treatment variable.

Language: Stata
Requires: Stata version 16
Keywords: parallel trends; difference in differences; DiD (search for similar items in EconPapers)
Date: 2026-06-09
Note: This module should be installed from within Stata by typing "ssc install didparallel". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/d/didparallel.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/didparallel.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/l/ldidparallel.mlib object code (application/x-stata)
http://fmwww.bc.edu/repec/bocode/b/bacon_example.dta
http://fmwww.bc.edu/repec/bocode/c/cao_chen.dta
http://fmwww.bc.edu/repec/bocode/m/mpdta.dta
http://fmwww.bc.edu/repec/bocode/e/example_didparallel.do sample help file (text/plain)

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