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A Further Analysis of Determinants of Health Insurance Coverage

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  • Richard Cebula

Abstract

This study uses state-level data to identify key factors influencing geographic differentials in the percentage of the population without health insurance coverage, with particular emphasis placed on the impact of the percentage of the population that is either self-employed or independent contractors. Not surprisingly, the cross-section analysis finds that the percentage of a state's population without health insurance was a decreasing function of median family income in the state, the female labor force participation rate in the state, and the percentage of the state's population age 65 and older, while being an increasing function of the percentage of households in the state with only a female head of household present (no husband present) and the percent of the state's population classified as Hispanic. Reflecting the emphasis in this study, the empirical estimates all also reveal that the percentage of a state's population without health insurance is an increasing the percentage of the state's population that filed a federal personal income tax return that included a Schedule C, which is used in this study as a proxy for self-employment and independent contractors. Copyright IAES 2006

Suggested Citation

  • Richard Cebula, 2006. "A Further Analysis of Determinants of Health Insurance Coverage," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 12(3), pages 382-389, August.
    • Handle: RePEc:kap:iaecre:v:12:y:2006:i:3:p:382-389:10.1007/s11294-006-9025-3
    DOI: 10.1007/s11294-006-9025-3
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    References listed on IDEAS

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    Cited by:

    1. Richard J. Cebula, 2008. "Small Firm Size and Health Insurance: A Private Enterprise Perspective," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 24(Fall 2008), pages 51-77.
    2. Cebula, Richard, 2010. "Effects of Health Insurance and Medical Care Inflation on Voluntary Enlistment in the Army: An Empirical Study in the United States," MPRA Paper 51246, University Library of Munich, Germany.
    3. repec:kap:iaecre:v:14:y:2008:i:3:p:336-347 is not listed on IDEAS
    4. Rajeev K. Goel & Michael A. Nelson, 2022. "Covid-19 Full-Dose Vaccination across Uninsured Populations: Evidence across Counties in the United States," CESifo Working Paper Series 10197, CESifo.
    5. Cebula, Richard & Nair-Reichert, Usha & Taylor, Kyle, 2009. "Does a Lack of Health Insurance Elicit an Increase in the Rate of Voluntary Military Enlistment in the U.S.? The "Military Health Care Magnet Hypothesis," 1974-2007," MPRA Paper 56719, University Library of Munich, Germany.
    6. Richard Cebula & Anthony Bopp, 2008. "Estimating the Percentage of the US Population without Health Insurance: An Ecological Approach," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(3), pages 336-347, August.
    7. Andrea M. Leiter & Engelbert Theurl, 2021. "Determinants of prepaid systems of healthcare financing: a worldwide country-level perspective," International Journal of Health Economics and Management, Springer, vol. 21(3), pages 317-344, September.
    8. Richard Cebula, 2010. "The micro-firm health insurance hypothesis," Applied Economics Letters, Taylor & Francis Journals, vol. 17(11), pages 1067-1072.
    9. Cebula, Richard & Bopp, Anthony, 2007. "The Small Firms Hypothesis and the Percent of U.S. Society without Health Insurance: An Investigation Using Alternative Means Tests," MPRA Paper 56722, University Library of Munich, Germany.

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    More about this item

    Keywords

    I11;

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

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