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A comparison of parametric and semiparametric estimates of the effect of spousal health insurance coverage on weekly hours worked by wives


  • Craig A. Olson

    (School of Business & Industrial Relations Research Institute, University of Wisconsin-Madison, 975 University Ave, Madison, WI 53706-1323, USA)


Health insurance in the USA for most of the non-aged population is provided as a fringe benefit that is received by an adult family member as part of his or her compensation package. In husband and wife households health insurance is more likely to be part of the husband's compensation package than the wife's compensation package. However, when a husband does not have employer-provided health insurance, his wife may seek health insurance through an employer. Because health insurance through one's employer typically requires that a worker is a full-time employee, spousal health insurance coverage for wives is predicted to influence their labour supply decisions. Parametric and semiparametric statistical models using March 1993 CPS data show wives without spousal health benefits are more likely to work full-time than those who do have spousal health benefits. © 1998 John Wiley & Sons, Ltd.

Suggested Citation

  • Craig A. Olson, 1998. "A comparison of parametric and semiparametric estimates of the effect of spousal health insurance coverage on weekly hours worked by wives," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 543-565.
  • Handle: RePEc:jae:japmet:v:13:y:1998:i:5:p:543-565

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    Cited by:

    1. Jonathan Gruber & Brigitte C. Madrian, 2002. "Health Insurance, Labor Supply, and Job Mobility: A Critical Review of the Literature," JCPR Working Papers 255, Northwestern University/University of Chicago Joint Center for Poverty Research.
    2. Brent Kreider & Steven C. Hill, 2009. "Partially Identifying Treatment Effects with an Application to Covering the Uninsured," Journal of Human Resources, University of Wisconsin Press, vol. 44(2).
    3. Iskhakov, Fedor, 2008. "Dynamic Programming Model of Health and Retirement," Memorandum 03/2008, Oslo University, Department of Economics.
    4. Ji-Liang Shiu & Meng-Chi Tang, 2016. "Household Preferences and Joint Decisions on Employer-Provided Health Insurance Access," Manchester School, University of Manchester, vol. 84(6), pages 723-748, December.
    5. repec:kap:iaecre:v:19:y:2013:i:2:p:107-129 is not listed on IDEAS
    6. Shin-Yi Chou & Jin-Tan Liu & James Hammitt, 2006. "Households’ precautionary behaviors—the effects of the introduction of National Health Insurance in Taiwan," Review of Economics of the Household, Springer, vol. 4(4), pages 395-421, December.
    7. Zhigang Feng & Kai Zhao, 2015. "Employment-Based Health Insurance and Aggregate Labor Supply," Working papers 2015-11, University of Connecticut, Department of Economics.
    8. Jason Murasko, 2008. "Married Women’s Labor Supply and Spousal Health Insurance Coverage in the United States: Results from Panel Data," Journal of Family and Economic Issues, Springer, vol. 29(3), pages 391-406, September.
    9. Dey, Matthew & Flinn, Christopher, 2008. "Household search and health insurance coverage," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 43-63, July.
    10. Brigitte C. Madrian, 2005. "The U.S. health care system and labor markets," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 50(Jun), pages 137-163.
    11. Thomas C. Buchmueller & John DiNardo & Robert Valletta, 2004. "A Submerging Labor Market Institution?Unions and the Nonwage Aspects of Work," NBER Chapters,in: Emerging Labor Market Institutions for the Twenty-First Century, pages 231-264 National Bureau of Economic Research, Inc.
    12. Jody Schimmel, 2006. "Men With Health Insurance and the Women Who Love Them: the Effect of a Husband's Retirement on His Wife's Health Insurance Coverage," Working Papers wp131, University of Michigan, Michigan Retirement Research Center.
    13. Bradley, Cathy J. & Bednarek, Heather L. & Neumark, David, 2002. "Breast cancer survival, work, and earnings," Journal of Health Economics, Elsevier, vol. 21(5), pages 757-779, September.
    14. Kuo-Liang Chang & George Langelett & Andrew Waugh, 2011. "Health, Health Insurance, and Decision to Exit from Farming," Journal of Family and Economic Issues, Springer, vol. 32(2), pages 356-372, June.
    15. Royalty, Anne Beeson & Abraham, Jean M., 2006. "Health insurance and labor market outcomes: Joint decision-making within households," Journal of Public Economics, Elsevier, vol. 90(8-9), pages 1561-1577, September.
    16. Michael Insler, 2014. "The Health Consequences of Retirement," Journal of Human Resources, University of Wisconsin Press, vol. 49(1), pages 195-233.
    17. Boyle, Melissa A. & Lahey, Joanna N., 2016. "Spousal labor market effects from government health insurance: Evidence from a veterans affairs expansion," Journal of Health Economics, Elsevier, vol. 45(C), pages 63-76.
    18. Shin-Yi Chou & Jin-Tan Liu & James K. Hammitt, 2002. "Health Insurance and Households' Precautionary Behaviors - An Unusual Natural Experiment," NBER Working Papers 9394, National Bureau of Economic Research, Inc.
    19. Stephen DeLoach & Jennifer Platania, 2013. "The Macroeconomic Consequences of Financing Health Insurance," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 19(2), pages 107-129, May.
    20. David Zimmer, 2009. "Insurance Arrangements Among Married Couples: Analysis of Benefit Substitution and Compensating Differentials," Journal of Family and Economic Issues, Springer, vol. 30(4), pages 428-439, December.
    21. Zimmer, David M., 2010. "The role of health insurance in labor supply decisions of divorced females," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(2), pages 121-131, May.
    22. Nga Le Thi Quynh & Groot, Wim & Tomini, Sonila M. & Tomini, Florian, 2017. "Effects of health insurance on labour supply: A systematic review," MERIT Working Papers 017, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

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