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Volumn 33, Issue 8, 2014, Pages 1367-1374

Trade-offs between public and private coverage for low-income children have implications for future policy debates

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ARTICLE; CHILD; CHILD CARE; EMPLOYER; HEALTH CARE ACCESS; HEALTH CARE COST; HEALTH CARE NEED; HEALTH CARE POLICY; HEALTH INSURANCE; HEALTH SURVEY; HUMAN; LOWEST INCOME GROUP; MAJOR CLINICAL STUDY; MEDICAID; PARENT; PATIENT SATISFACTION; ADULT; ECONOMICS; FEMALE; INSURANCE; MALE; MEDICALLY UNINSURED; ORGANIZATION AND MANAGEMENT; POVERTY; RISK FACTOR; SOCIOECONOMICS; UNITED STATES; YOUNG ADULT;

EID: 84905990821     PISSN: 02782715     EISSN: 15445208     Source Type: Journal    
DOI: 10.1377/hlthaff.2014.0264     Document Type: Article
Times cited : (19)

References (30)
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    • To access the Appendix, click on the Appendix link in the box to the right of the article online
    • To access the Appendix, click on the Appendix link in the box to the right of the article online
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    • We also include some estimates using data from the HRMS for the first quarter of
    • We also include some estimates using data from the HRMS for the first quarter of 2014
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    • ACS estimates are subject to more extensive editing than those of the HRMS to reflect underreporting of Medicaid or CHIP coverage and other issues
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    • Our findings were consistent when we included data from the first quarter of 2014
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    • Where applicable, we used statespecific program names to identify Medicaid or CHIP coverage and to assign coverage types based on write-in responses
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    • We defined low income as less than 250 percent of poverty because the HRMS includes income breaks only at 138 percent, 250 percent, and 400 percent of poverty.We also excluded fifty-four observations with missing values for key analytic variables
    • We defined low income as less than 250 percent of poverty because the HRMS includes income breaks only at 138 percent, 250 percent, and 400 percent of poverty.We also excluded fifty-four observations with missing values for key analytic variables.
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    • We knew only the respondent's coverage and individual offer, status.
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    • We knew only the respondent's coverage and individual offer status. However, respondents with children reported whether either parent had employer-sponsored insurance that could cover the child.
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    • Estimates were based on four quarters of HRMS-Kids data, with 2,606 observations for children whose family incomes were less than 138 percent of poverty
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    • These estimates are similar to those in Medicaid and, CHIP., Payment and Access Commission
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    • These estimates are similar to those in Medicaid and CHIP Payment and Access Commission, Report to Congress on Medicaid and CHIP (Note 4), p. 8, which are based on data from the Medical Expenditure Panel Survey.
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