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Health Insurance Coverage: Logical Versus Survey Identification of the Foreign-Born.

Authors
  • Altman, Claire E1
  • Spence, Cody2
  • Hamilton, Christal3
  • Bachmeier, James D2
  • 1 Department of Health Sciences, University of Missouri, 501 Clark Hall, Columbia, MO, 65211, USA. [email protected]
  • 2 Department of Sociology, Temple University, Philadelphia, PA, USA.
  • 3 Truman School of Public Affairs, University of Missouri, Columbia, MO, USA.
Type
Published Article
Journal
Journal of immigrant and minority health
Publication Date
Jun 01, 2021
Volume
23
Issue
3
Pages
606–614
Identifiers
DOI: 10.1007/s10903-020-01045-y
PMID: 32683520
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Estimating rates of public benefit use for lawful permanent residents (LPRs) is difficult given the limited availability of nationally representative data that disaggregate the foreign-born population by legal status. Using the 2008 Survey of Income and Program Participation-the only national survey that distinguishes LPRs from other non-citizens-we employ logistic regression to compare estimates of health insurance coverage for legal immigrants using two methods to infer legal status: (1) a logical approach and (2) a survey-based approach. The logical approach, relative to the survey approach, yields a higher predicted probability of having any insurance for LPRs (adjPP = 0.70) compared to the survey approach (adjPP = 0.57) and a higher likelihood of having public health insurance (adjPP = 0.26 compared to adjPP = 0.09, respectively). These findings suggest that the logical approach may overestimate lawful immigrants' reliance on public benefits, which has implications for conclusions about recent changes to the public charge rule.

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