IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp16995.html
   My bibliography  Save this paper

Biological, Behavioural and Spurious Selection on the Kidney Transplant Waitlist

Author

Listed:
  • Kastoryano, Stephen

    (University of Reading)

Abstract

The kidney allocation system aims to distribute kidneys from deceased donors in an equitable and potential-life optimising manner. This is a difficult task, not least because intrinsic biological differences, such as a person's ABO blood type, influence the allocation. This paper begins by presenting a curious and undocumented empirical fact: candidates on the kidney transplant waitlist with blood types implying they will more rapidly be offered a kidney display lower pre-transplant survival. The paper investigates whether this difference in pre-transplant survival is due to biological, behavioural, or spurious selection. To that end, we promote a two-in-one randomization design which allows us to credibly fit our empirical setting within a dynamic potential outcomes framework. Using this framework, drawing from economic theory, and noting problematic financial and legal market incentives, the paper systematically evaluates different explanations for pre-transplant survival patterns. Our analysis establishes a small set of behavioural explanations which directly inform debates about how to reduce the excessive discard of viable kidneys in the US transplant market.

Suggested Citation

  • Kastoryano, Stephen, 2024. "Biological, Behavioural and Spurious Selection on the Kidney Transplant Waitlist," IZA Discussion Papers 16995, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp16995
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp16995.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    kidney transplant; expectation effects; dynamic treatment effects; survival models;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

    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:iza:izadps:dp16995. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.