Parallel Trends Assumption

The Parallel Trends Assumption is a key identifying assumption in difference-in-differences methods, stating that in the absence of treatment, the average outcomes for treated and control groups would have followed parallel trajectories over time.

61

Publications

7.1K

Citations

104

Authors

77

Institutions

Publications per year

2017–2026

53

Authors

104

  1. PH
    Pedro H. C. Sant’Anna

    Vanderbilt University, United States

    8 publications · 2.2K citations

    8

    h-index

  2. BC
    Brantly Callaway

    Vanderbilt University, United States

    7 publications · 2K citations

    7

    h-index

  3. CD
    Clément de Chaisemartin

    University of California, Santa Barbara, United States

    4 publications · 398 citations

    4

    h-index

  4. AG
    Andrew Goodman-Bacon

    Federal Reserve Bank of Minneapolis, United States

    3 publications · 559 citations

    3

    h-index

  5. JR
    Jonathan Roth

    John Brown University, United States

    3 publications · 2K citations

    3

    h-index

1–5 of 104

Venues

  1. SSRN Electronic Journal

    Repository · 7 publications · 347 citations

    7

    h-index

  2. arXiv (Cornell University)

    Repository · 6 publications · 462 citations

    6

    h-index

  3. Epidemiology

    3 publications · 139 citations

    3

    h-index

  4. National Bureau of Economic Research

    Repository · 2 publications · 166 citations

    2

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 2 publications · 427 citations

    2

    h-index

1–5