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GPs' preferences: What price fee-for-service?

Author

Listed:
  • Peter Zweifel

    (Socioeconomic Institute, University of Zurich)

  • Maurus Rischatsch

    (Socioeconomic Institute, University of Zurich)

  • Angelika Braendle

Abstract

In mixed health care systems a crucial condition for the success of Managed Care (MC) plans is to win over a su±cient number of general practitioners (GPs) acting as gatekeepers. This contribution reports on GPs' willingness-to-accept (WTA) or compensation asked, respectively, for changing from conventional fee-for-service to MC practice. Some 175 Swiss GPs participated in discrete choice experiments which permit to put a money value on their status quo bias. Regardless of whether effects coding or dummy coding is used to measure status quo bias, Swiss GPs require at least 16 percent of their current average income to give up fee-for-service in favor of MC practice.

Suggested Citation

  • Peter Zweifel & Maurus Rischatsch & Angelika Braendle, 2009. "GPs' preferences: What price fee-for-service?," SOI - Working Papers 0910, Socioeconomic Institute - University of Zurich.
    • Handle: RePEc:soz:wpaper:0910
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    File URL: https://www.econ.uzh.ch/apps/workingpapers/wp/wp0910.pdf
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    References listed on IDEAS

    as
    1. Pauly, Mark V., 1994. "Editorial: A re-examination of the meaning and importance of supplier-induced demand," Journal of Health Economics, Elsevier, vol. 13(3), pages 369-372, October.
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    More about this item

    Keywords

    general practitioners; willingness-to-pay; preferences; market experiments; managed care; effects coding; status quo bias;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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