IDEAS home Printed from https://ideas.repec.org/a/eei/journl/v64y2021i3p69-102.html
   My bibliography  Save this article

Difference-in-Differences with Staggered Treatment Timing

Author

Listed:
  • Maurice Bailey
  • John Kendall

Abstract

Staggered treatment timing poses challenges to identify the treatment effect because the post-period dummy is not defined for control observations. Usually, researcher exploit variation in treatment timing and employ the two-way fixed effects model; differences in when units received treatment contribute to identification. Given that difference-in-differences analysis with staggered treatment timing are likely to be biased in the presence of treatment effect heterogeneity, we propose a methodology to correct for the bias induced by the staggered nature of policy adoption.

Suggested Citation

  • Maurice Bailey & John Kendall, 2021. "Difference-in-Differences with Staggered Treatment Timing," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 64(3), pages 69-102.
    • Handle: RePEc:eei:journl:v:64:y:2021:i:3:p:69-102
    as

    Download full text from publisher

    File URL: https://ideas.repec.org/a/eei/journl/v64y2021i3p69-102.html
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marcus Roller, Daniel Steinberg, 2023. "Differences-in-Differences with multiple Treatments under Control," Diskussionsschriften credresearchpaper41, Universitaet Bern, Departement Volkswirtschaft - CRED.

    More about this item

    Keywords

    Difference-in-differences; variation in treatment timing; dynamic treatment effects.;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eei:journl:v:64:y:2021:i:3:p:69-102. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Julia van Hove (email available below). General contact details of provider: https://edirc.repec.org/data/eeriibe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.