Predicting Receipt of Social Security Administration Disability Benefits Using Biomarkers and Other Physiological Measures: Evidence from the Health and Retirement Study
Laura Blue,
Lakhpreet Gill,
Jessica Faul,
Kevin Bradway and
David Stapleton
Mathematica Policy Research Reports from Mathematica Policy Research
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.
Keywords: biomarkers; genetics; disability; Social Security Disability Insurance; Health and Retirement Study (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-age and nep-ias
References: Add references at CitEc
Citations:
Downloads: (external link)
http://journals.sagepub.com/doi/abs/10.1177/0898264317737893 (text/html)
Our link check indicates that this URL is bad, the error code is: 403 Forbidden (http://journals.sagepub.com/doi/abs/10.1177/0898264317737893 [301 Moved Permanently]--> https://journals.sagepub.com/doi/abs/10.1177/0898264317737893)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mpr:mprres:1892ab75953c4395ae7f5ce81fcd4100
Access Statistics for this paper
More papers in Mathematica Policy Research Reports from Mathematica Policy Research Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications. Contact information at EDIRC.
Bibliographic data for series maintained by Joanne Pfleiderer () and Cindy George ( this e-mail address is bad, please contact ).