IDEAS home Printed from https://ideas.repec.org/p/mpr/mprres/1892ab75953c4395ae7f5ce81fcd4100.html
   My bibliography  Save this paper

Predicting Receipt of Social Security Administration Disability Benefits Using Biomarkers and Other Physiological Measures: Evidence from the Health and Retirement Study

Author

Listed:
  • Laura Blue
  • Lakhpreet Gill
  • Jessica Faul
  • Kevin Bradway
  • David Stapleton

Abstract

This study assesses how well physiological markers, including select biomarkers and genetic indicators, predict benefits receipt under Social Security Disability Insurance or Supplemental Security Income due to disability.

Suggested Citation

  • Laura Blue & Lakhpreet Gill & Jessica Faul & Kevin Bradway & David Stapleton, "undated". "Predicting Receipt of Social Security Administration Disability Benefits Using Biomarkers and Other Physiological Measures: Evidence from the Health and Retirement Study," Mathematica Policy Research Reports 1892ab75953c4395ae7f5ce81, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:1892ab75953c4395ae7f5ce81fcd4100
    as

    Download full text from publisher

    File URL: http://journals.sagepub.com/doi/abs/10.1177/0898264317737893
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    biomarkers; genetics; disability; Social Security Disability Insurance; Health and Retirement Study;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:mpr:mprres:1892ab75953c4395ae7f5ce81fcd4100. 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: Joanne Pfleiderer or Cindy George (email available below). General contact details of provider: https://edirc.repec.org/data/mathius.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.