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Title: Improving the American Community Survey for Studying Health Insurance Reform

Citation Type: Conference Paper

Publication Year: 2011

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Abstract: The Affordable Care Act (ACA) is expected to lead to substantial increases in health insurance coverage, particularly through both Medicaid and nongroup plans offered through the new exchanges that will be established in 2014 (Elmendorf, 2011). To assess the impacts of the ACA, it will be critical to have valid estimates of how the distribution of health insurance coverage changes at the national, state, and local levels, overall and for different subgroups. While a number of surveys provide national coverage estimates, the American Community Survey (ACS) is the only survey with sufficient sample size to track coverage at the state and local levels on an annual basis. However, prior research suggests that ACS estimates of nongroup are too high and that estimates of Medicaid/CHIP coverage are too low (Turner & Boudreaux, 2010).In this paper, we summarize methods we developed to address misreporting of coverage on the ACS and show how their use appears to produce nongroup and Medicaid/CHIP estimates on the ACS with more face validity.

Url: http://www.srl.uic.edu/Publist/HSRM10_proceedings.pdf#page=92

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Authors: Lynch, Victoria; Kenney, Genevieve, M

Conference Name: Tenth Conference on Health Survey Research Methods

Publisher Location: Hyattsville, MD

Data Collections: IPUMS USA

Topics: Health, Population Data Science

Countries: United States