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Optimal non-linear health insurance.

A Blomqvist1

  • 1Department of Economics, University of Western Ontario, London, Canada. blomqvist@sscl.uwo.ca

Journal of Health Economics
|May 7, 1997
PubMed
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This study explores optimal non-linear health insurance schedules using dynamic optimization. Preliminary findings suggest potential overestimation of welfare losses from employer-sponsored health insurance subsidies.

Area of Science:

  • Health Economics
  • Insurance Theory
  • Public Finance

Background:

  • Existing research on efficient health insurance primarily uses linear models with constant co-insurance.
  • The current framework often overlooks the complexities of non-linear insurance structures.
  • Previous analyses of employer-financed health insurance subsidies may have overestimated welfare losses.

Purpose of the Study:

  • To analyze the properties of optimal non-linear health insurance schedules.
  • To apply dynamic optimization techniques to a model inspired by Spence and Zeckhauser.
  • To re-evaluate welfare losses associated with US tax subsidies for employer-financed health insurance.

Main Methods:

  • Utilized dynamic optimization techniques to model insurance schedules.

Related Experiment Videos

  • Employed a theoretical framework similar to Spence and Zeckhauser's (1971) work.
  • Conducted a preliminary numerical example to assess welfare implications.

    • Main Results:

    • Optimal non-linear insurance schedules can differ significantly from linear models.
    • Preliminary numerical results indicate potentially smaller welfare losses from tax subsidies.
    • The findings challenge previous estimations based on linear insurance assumptions.

    Conclusions:

    • Non-linear insurance schedules are crucial for a more accurate understanding of health insurance efficiency.
    • The welfare impact of employer-sponsored health insurance subsidies may be less severe than previously thought.
    • Further research using non-linear models is warranted for policy analysis in health insurance.