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Accounting For Heterogeneity In The Measurement of Hospital Performance

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  • Philippe K Widmer
  • Peter Zweifel

    (Socioeconomic Institute University of Zurich, Switzerland)

  • Mehdi Farsi

    (Department of Management Technology and Economics ETH Zurich, Switzerland)

Abstract

With prospective payment of hospitals becoming more common, measuring their performance is gaining in importance. However, the standard cost frontier model yields biased efficiency scores because it ignores technological heterogeneity between hospitals. In this paper, efficiency scores are derived from a random intercept and an extended random parameter frontier model, designed to overcome the problem of unobserved heterogeneity in stochastic frontier analysis. Using a sample of 100 Swiss hospitals covering the years 2004 to 2007 and applying Bayesian inference, significant heterogeneity is found, suggesting rejection of the standard cost frontier model. Estimated inefficiency decreases even below the 14 percent reported by Hollingsworth (2008) for European countries. Accounting for unobserved heterogeneity would make hospitals rated below 85 percent efficiency according to the standard model gain up to 12 percentage points, serving to highlight the importance of heterogeneity correction in the estimation of hospital performance.

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Bibliographic Info

Paper provided by The University of Western Australia, Department of Economics in its series Economics Discussion / Working Papers with number 10-21.

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Length: 25 pages
Date of creation: 2010
Date of revision:
Handle: RePEc:uwa:wpaper:10-21

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  1. Jim Griffin & Mark Steel, 2007. "Bayesian stochastic frontier analysis using WinBUGS," Journal of Productivity Analysis, Springer, vol. 27(3), pages 163-176, June.
  2. Mehdi Farsi & Massimo Filippini & William Greene, 2006. "Application Of Panel Data Models In Benchmarking Analysis Of The Electricity Distribution Sector ," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 77(3), pages 271-290, 09.
  3. Ho-chuan Huang, 2004. "Estimation of Technical Inefficiencies with Heterogeneous Technologies," Journal of Productivity Analysis, Springer, vol. 21(3), pages 277-296, May.
  4. 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.
  5. Joseph P. Newhouse, 1996. "Reimbursing Health Plans and Health Providers: Efficiency in Production versus Selection," Journal of Economic Literature, American Economic Association, vol. 34(3), pages 1236-1263, September.
  6. Medhi Farsi & Massimo Filippini, 2006. "Effects of ownership, subsidization and teaching activities on hospital costs in Switzerland," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 0606, USI Università della Svizzera italiana.
  7. Koop, G. & Osiewalski, J. & Steel, M. F. J., . "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," CORE Discussion Papers RP -1245, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  8. Tsionas, E.G., 2001. "Stochastic Frontier Models with Random Coefficients," Athens University of Economics and Business 130, Athens University of Economics and Business, Department of International and European Economic Studies.
  9. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
  10. Bruce Hollingsworth, 2008. "The measurement of efficiency and productivity of health care delivery," Health Economics, John Wiley & Sons, Ltd., vol. 17(10), pages 1107-1128.
  11. 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.
  12. Jacobs,Rowena & Smith,Peter C. & Street,Andrew, 2006. "Measuring Efficiency in Health Care," Cambridge Books, Cambridge University Press, number 9780521851442, April.
  13. Keeler, Emmett B., 1990. "What proportion of hospital cost differences is justifiable?," Journal of Health Economics, Elsevier, vol. 9(3), pages 359-365, November.
  14. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
  15. 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.
  16. 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.
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Cited by:
  1. Maria Olivares & Heike Wetzel, 2011. "Competing in the Higher Education Market: Empirical Evidence for Economies of Scale and Scope in German Higher Education Institutions," Economics of Education Working Paper Series 0070, University of Zurich, Institute for Strategy and Business Economics (ISU).
  2. Philippe K. Widmer, 2011. "Does prospective payment increase hospital (in)efficiency? Evidence from the Swiss hospital sector," ECON - Working Papers 053, Department of Economics - University of Zurich.
  3. Vincenzo Atella & Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Giorgia Marini, 2012. "Cost-containment policies and hospital efficiency: evidence from a panel of Italian hospitals," CEIS Research Paper 228, Tor Vergata University, CEIS, revised 13 Apr 2012.

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