Accounting for heterogeneity in the measurement of hospital performance

Research, Preprint OPEN
Philippe K. Widmer; Peter Zweifel; Mehdi Farsi;
(2011)
  • Publisher: Zurich: University of Zurich, Department of Economics
  • Related identifiers: doi: 10.5167/uzh-53569
  • Subject: hospital efficiency | Department of Economics | C11 | C33 | Hospital efficiency, unobserved heterogeneity, bayesian inference, Switzerland, stochastic frontier analysis, Krankenhausfinanzierung, Gesundheitsförderung, Effizienz, Schweiz, Heterogenität | D24 | Switzerland | Stochastic Frontier Analysis | I18 | Gesundheitsversorgung | 330 Economics | unobserved heterogeneity | Krankenhaus | Schweiz | Schätzung | Wirtschaftliche Effizienz | Bayesian inference | Hospital efficiency, unobserved heterogeneity, Bayesian inference, Switzerland, stochastic frontier analysis
    • jel: jel:C11 | jel:C33 | jel:D24 | jel:I18
      ddc: ddc:330

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, e... View more
  • References (15)
    15 references, page 1 of 2

    Aigner, D., Lovell, C. A. K., Schmidt, P., 1977. Formulation and estimation of stochastic frontier production function models. Journal of Econometrics 6 (1), 21-37.

    Farrell, M., 1957. The measurement of productive e ciency. Journal of the Royal Statistical Scociety 120 (3), 253-281.

    Farsi, M., Filippini, M., 2006. An analysis of e ciency and productivity in Swiss hospitals. Swiss Journal of Economics and Statistics (SJES) 142 (I), 1-37.

    Farsi, M., Filippini, M., 2008. E ects of ownership, subsidization and teaching activities on hospital costs in Switzerland. Health Economics 17 (3), 335-350.

    Farsi, M., Filippini, M., Greene, W., 2006. Application of panel data models in benchmarking analysis of the electricity distribution sector. Annals of Public and Cooperative Economics 77 (3), 271-290.

    Ntzoufras, I., 2009. Bayesian modeling using WinBUGS. Wiley Series in Computational Statistics. Wiley, Hoboken, NJ.

    Orea, L., Kumbhakar, S. C., 2004. E ciency measurement using a latent class stochastic frontier model. Empirical Economics 29 (1), 169-183.

    Pitt, M. M., Lee, L.-F., 1981. The measurement and sources of technical ine ciency in the indonesian weaving industry. Journal of Development Economics 9 (1), 43 - 64.

    Schmidt, P., Sickles, R. C., 1984. Production frontiers and panel data. Journal of Business & Economic Statistics 2 (4), 367-74.

    Spiegelhalter, D. J., Best, N. G., Carlin, B. P., van der Linde, A., 2002. Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society Series B 64, 583-640.

  • Metrics
Share - Bookmark