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Modeling a Bridge When Survey Questions Change: Evidence from the Current Population Survey Health Insurance Redesign

Author

Listed:
  • O’Hara Brett
  • Medalia Carla
  • Maples Jerry J.

    (U.S. Census Bureau, 4600 Silver Hill Rd Washington, D.C.20233-8500 Maryland 20746, U.S.A.)

Abstract

Most research on health insurance in the United States uses the Current Population Survey Annual Social and Economic Supplement. However, a recent redesign of the health insurance questions disrupted the historical time trend in 2013. Using data from the American Community Survey, which has a parallel trend in the uninsured rate, we model a bridge estimate of the uninsured rate using the traditional questions. Also, we estimate the effect of changing the questionnaire. We show that the impact of redesigning the survey varies substantially by subgroup. This approach can be used to produce bridge estimates when other questionnaires are redesigned.

Suggested Citation

  • O’Hara Brett & Medalia Carla & Maples Jerry J., 2019. "Modeling a Bridge When Survey Questions Change: Evidence from the Current Population Survey Health Insurance Redesign," Journal of Official Statistics, Sciendo, vol. 35(1), pages 189-202, March.
    • Handle: RePEc:vrs:offsta:v:35:y:2019:i:1:p:189-202:n:9
    DOI: 10.2478/jos-2019-0009
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    References listed on IDEAS

    as
    1. Kerry McGeary, 2009. "How do health shocks influence retirement decisions?," Review of Economics of the Household, Springer, vol. 7(3), pages 307-321, September.
    2. Cathy Bradley & David Neumark & Meryl Motika, 2012. "The effects of health shocks on employment and health insurance: the role of employer-provided health insurance," International Journal of Health Economics and Management, Springer, vol. 12(4), pages 253-267, December.
    3. James Bailey & Anna Chorniy, 2016. "Employer-Provided Health Insurance And Job Mobility: Did The Affordable Care Act Reduce Job Lock?," Contemporary Economic Policy, Western Economic Association International, vol. 34(1), pages 173-183, January.
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