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Cost and Technical Efficiency of German Hospitals – A Stochastic Frontier Analysis

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  • Frohloff, Annika
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    Using a newly available and multifaceted dataset provided by the German Federal Statistical Office, this paper is the first to investigate both technical and cost efficiency of more than 1500 German general hospitals conducting a stochastic frontier analysis. The empirical results for the years from 2000 to 2003 indicate that private and non-profit hospitals are on average less cost and technical efficient than publicly owned hospitals. One explanation for this result may be that German private and non-profit hospitals produce at a longer average length of stay and, thereby, a higher cost per case than public institutions due to the incentives provided by reimbursement schemes until 2004. Furthermore, the paper reveals that non-subsidised hospitals are less efficient than their respective counterparts. Controlling for patients' characteristics (in addition to the constructed case-mix weights), it can be shown that a high ratio of old patients decreases efficiency whereas a high ratio of female patients and a high surgery rate increase it.

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    File URL: https://www.econstor.eu/bitstream/10419/26767/1/528419625.PDF
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    Paper provided by RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen in its series Ruhr Economic Papers with number 2.

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    Date of creation: 2007
    Handle: RePEc:zbw:rwirep:2
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    1. Sloan, Frank A. & Picone, Gabriel A. & TaylorJr., Donald H. & Chou, Shin-Yi, 2001. "Hospital ownership and cost and quality of care: is there a dime's worth of difference?," Journal of Health Economics, Elsevier, vol. 20(1), pages 1-21, January.
    2. Tomas J. Philipson & Richard A. Posner, 2009. "Antitrust in the Not-for-Profit Sector," Journal of Law and Economics, University of Chicago Press, vol. 52(1), pages 1-18, 02.
    3. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    4. Tim Coelli & Sergio Perelman & Elliot Romano, 1999. "Accounting for Environmental Influences in Stochastic Frontier Models: With Application to International Airlines," Journal of Productivity Analysis, Springer, vol. 11(3), pages 251-273, June.
    5. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    6. Mark G. Duggan, 2000. "Hospital Ownership and Public Medical Spending," The Quarterly Journal of Economics, Oxford University Press, vol. 115(4), pages 1343-1373.
    7. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    8. Matthias Staat & Maik Hammerschmidt, 2003. "Benchmarking the Health Sector in Germany – An Application of Data Envelopment Analysis," HEW 0309003, EconWPA.
    9. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    10. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
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