Which Medicaid Recipients Might Be Eligible for SSI?
Michael Levere and
David Wittenburg
National Tax Journal, 2026, vol. 79, issue 2, 363 - 392
Abstract:
Though safety net programs offer important benefits, take-up is often incomplete. Using machine learning models on Medicaid data, we estimate the take-up rate for children’s Supplemental Security Income (SSI) and the characteristics of potentially eligible children with disabilities who do not receive benefits. Using more than 1,000 measures of health-care utilization, we estimate state-specific models that generate the probability that each child not receiving SSI is eligible. Using the expected number of potentially eligible children, the implied take-up of SSI is approximately 70 percent. Potentially eligible children have intensive health-care usage, often more intensive than current child SSI recipients.
Date: 2026
References: Add references at CitEc
Citations:
Downloads: (external link)
http://dx.doi.org/10.1086/739783 (application/pdf)
http://dx.doi.org/10.1086/739783 (text/html)
Access to the online full text or PDF requires a subscription.
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:ucp:nattax:doi:10.1086/739783
Access Statistics for this article
More articles in National Tax Journal from University of Chicago Press
Bibliographic data for series maintained by Journals Division ().