Health Insurance Coverage: Logical Versus Survey Identification of the Foreign-Born
| Autor: | Christal Hamilton, Cody Spence, Claire E. Altman, James D. Bachmeier |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Legal status
medicine.medical_specialty education.field_of_study 030505 public health Actuarial science Epidemiology Public health media_common.quotation_subject Immigration Population Public Health Environmental and Occupational Health Limited availability Logistic regression humanities 03 medical and health sciences Identification (information) 0302 clinical medicine Foreign born medicine 030212 general & internal medicine Business 0305 other medical science education media_common |
| Zdroj: | Journal of Immigrant and Minority Health. 23:606-614 |
| ISSN: | 1557-1920 1557-1912 |
| DOI: | 10.1007/s10903-020-01045-y |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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