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Choice of reserve capacity by hospitals: a problem for prospective payment

Author

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  • Philippe K. Widmer

    (Polynomics AG)

  • Maria Trottmann

    (Polynomics AG)

  • Peter Zweifel

    (University of Zurich)

Abstract

This contribution analyzes the impact of prospective payment on hospital decisions with regard to reserve capacity, using Swiss hospital data covering the years 2004–2009. This data set is unique because it permits distinguishing of institutional characteristics (e.g., ownership status) from the mode of payment as determinants of hospital efficiency, due to the fact that some Swiss cantons introduced prospective payment early while others waited for federal legislation to be enacted in 2012. Since a hospital’s choice of reserve capacity depends also on the risk preferences of management while affecting the cost function, heterogeneity is predicted even in the presence of identical technology and factor prices. For estimating hospitals’ marginal costs, we employ the flexible representation of risk preferences by Pope and Chavas [Am J Agric Econ 76, 196–204 (1994)]. Production uncertainty is measured as the difference between actual admissions and admissions predicted by an autoregressive moving average model. Its effect on hospital cost is analyzed using a multilevel stochastic cost frontier model with random coefficients reflecting unobserved differences in technology. Public hospitals are found to opt for a higher probability of meeting unexpected demand, as predicted. Their operating cost is 1.1% higher than for private hospitals and even 1.9% higher than for teaching hospitals, creating an incentive to turn away patients or to keep them waiting for treatment.

Suggested Citation

  • Philippe K. Widmer & Maria Trottmann & Peter Zweifel, 2018. "Choice of reserve capacity by hospitals: a problem for prospective payment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(5), pages 663-673, June.
    • Handle: RePEc:spr:eujhec:v:19:y:2018:i:5:d:10.1007_s10198-017-0909-3
    DOI: 10.1007/s10198-017-0909-3
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    References listed on IDEAS

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    1. Philippe K Widmer & Peter Zweifel & Mehdi Farsi, 2010. "Accounting For Heterogeneity In The Measurement of Hospital Performance," Economics Discussion / Working Papers 10-21, The University of Western Australia, Department of Economics.
    2. Mehdi Farsi & Massimo Filippini, 2006. "An Analysis of Efficiency and Productivity in Swiss Hospitals," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 142(I), pages 1-37, March.
    3. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
    4. Moschini, GianCarlo, 2001. "Production risk and the estimation of ex-ante cost functions," Journal of Econometrics, Elsevier, vol. 100(2), pages 357-380, February.
    5. Philippe Widmer, 2015. "Does prospective payment increase hospital (in)efficiency? Evidence from the Swiss hospital sector," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(4), pages 407-419, May.
    6. Mehdi Farsi & Massimo Filippini, 2008. "Effects of ownership, subsidization and teaching activities on hospital costs in Switzerland," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 335-350, March.
    7. Hughes, David & McGuire, Alistair, 2003. "Stochastic demand, production responses and hospital costs," Journal of Health Economics, Elsevier, vol. 22(6), pages 999-1010, November.
    8. Pope, Rulon D. & Just, Richard E., 1996. "Empirical implementation of ex ante cost functions," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 231-249.
    9. Gaynor, Martin & Anderson, Gerard F., 1995. "Uncertain demand, the structure of hospital costs, and the cost of empty hospital beds," Journal of Health Economics, Elsevier, vol. 14(3), pages 291-317, August.
    10. Rulon D. Pope & Jean-Paul Chavas, 1994. "Cost Functions Under Production Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(2), pages 196-204.
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    More about this item

    Keywords

    Production uncertainty; Reserve capacity; Prospective payment; Risk-adjusted cost function;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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