Health Insurance and Racial Disparity in the United States

Soogwan Doh

International Review of Public Administration, 2012, vol. 17, issue 1, 79-103

Abstract: This study seeks to examine the relationship between race and the uninsured rate, and to show racial disparities in health insurance at the state level by using regression models with cross-sectional time-series (panel) data. Before empirically testing the relationship between race and the uninsured rate, this study reviews the literature and describes the distribution of the uninsured rate by state in the United States. To analyze the impact of ethnicity on the uninsured rate, this study accounts for various characteristics which are believed to affect the uninsured rate at the state level, such as the state economy, sociodemographics, and state ideology. Results from the cross-sectional time-series feasible generalized least squares (FGLS) regression model indicate that a relationship exists between the Hispanic population and the uninsured rate across the fifty states in the United States. Findings also reveal strong support for the hypothesized impact of the state economy, sociodemographics, and state ideology on the uninsured rate at the state level. These findings have important implications for policy direction and future research.

Date: 2012
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DOI: 10.1080/12264431.2012.10805218

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