IDEAS home Printed from https://ideas.repec.org/p/yor/hectdg/13-17.html
   My bibliography  Save this paper

Difference in Differences for Stayers and Movers with a Time-Varying QualiÂ…cation

Author

Listed:
  • Lee, M.
  • Kim, Y.

Abstract

When a treatment in difference in differences (DD) is applied to a group of individuals with a time-constant qualifi…cation/eligibility such as gender or race, there is no issue of choosing to be (un-)treated. But if the quali…fication is time-varying, then the individuals may alter their qualifi…cations to get (un-)treated. In this case, the conventional DD ignoring quali…fication changes is invalid in general, and it is interesting to know whether the newly qualifi…ed (the “in-movers”) will experience the same treatment effect as those already qualifi…ed (the “in-stayers”). In this paper, we explore identifying treatment effects with DD when the quali…fication is time-varying, and propose ‘the effect on the in-stayers’ as the main effect of interest. The identi…fication is implemented with a simple nonparametric estimator or with least squares estimator for panel linear models. An empirical analysis is provided using Korean data for the effects of the Basic Elder Pension on health-care expenditure, which shows that the conventional DD ignoring quali…fication changes is misleading by mixing the effect on the in-stayers with the effect on the in-movers.

Suggested Citation

  • Lee, M. & Kim, Y., 2013. "Difference in Differences for Stayers and Movers with a Time-Varying QualiÂ…cation," Health, Econometrics and Data Group (HEDG) Working Papers 13/17, HEDG, c/o Department of Economics, University of York.
  • Handle: RePEc:yor:hectdg:13/17
    as

    Download full text from publisher

    File URL: https://www.york.ac.uk/media/economics/documents/herc/wp/13_17.pdf
    File Function: Main text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    difference in differences; effect on in-stayers; effect on in-movers; untreated moving effect; panel data;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

    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:yor:hectdg:13/17. 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: Jane Rawlings (email available below). General contact details of provider: https://edirc.repec.org/data/deyoruk.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.