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

Author

Listed:
  • Guanpeng Yan

    (Shandong University of Finance and Economics)

  • Qiang Chen

    (Shandong University)

Programming Language

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.

Suggested Citation

  • Guanpeng Yan & Qiang Chen, 2026. "DIDPARALLEL: Stata module to test parallel trends assumption for difference-in-differences models," Statistical Software Components S459733, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s459733
    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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    File URL: http://fmwww.bc.edu/repec/bocode/d/didparallel.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/d/didparallel.sthlp
    File Function: help file
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    File URL: http://fmwww.bc.edu/repec/bocode/l/ldidparallel.mlib
    File Function: object code
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    File URL: http://fmwww.bc.edu/repec/bocode/b/bacon_example.dta
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    File URL: http://fmwww.bc.edu/repec/bocode/c/cao_chen.dta
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    File URL: http://fmwww.bc.edu/repec/bocode/m/mpdta.dta
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    File URL: http://fmwww.bc.edu/repec/bocode/e/example_didparallel.do
    File Function: sample help file
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