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The Influence of State-Specific, Programmatic Characteristics in the Modeling of Medicaid Undercount
The Influence of State-Specific, Programmatic Characteristics in the Modeling of Medicaid Undercount
Abstract
Much research as been conducted regarding underreporting of benefit receipt on population surveys. Specifically, much work has been devoted to measuring Medicaid undercount on the Current Population Survey Annual Social and Economic Supplement (CPS ASEC). Previous studies have revealed estimates of false-negative reporting rates varying from 10-36%. As one of the primary indicators of Medicaid benefit receipt, measurement error within this estimate will not only bias survey results, but subsequently bias the program evaluation, policy development, and funding decisions informed by the CPS ASEC. Upon gaining estimates of the size of underreporting, the next round of research focused on seeking to explain why Medicaid recipients provide erroneous reports. Record check studies conducted by the Census Bureau revealed significantly associations between respondent-level characteristics (such recency and intensity of coverage, as well as household income and relationship to person being reported for) and underreporting.
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Page Last Revised - October 8, 2021
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