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Testing DEA Models of Efficiency in Norwegian Psychiatric Outpatient Clinics

  • Kittelsen, Sverre A.C.

    ()

    (The Ragnar Frisch Centre for Economic Research)

  • Magnussen, Jon

    (SINTEF Unimed NIS Health Services Research)

While measures of output in mental health care are even harder to find than in other health care activities, some indicators are available. In modelling productive efficiency the problem is to select the output variables that best reflect the use of resources, in the sense that these variables have a significant impact on measures of efficiency. The paper analyses cross-sectional data on the psychiatric outpatient clinics of Norway using the Data Envelopment Analysis (DEA) non-parametric efficiency measurement method, and tests the variable specification using statistical tools recently introduced in the literature. In addition to outputs, the importance of different profession or educational groups on efficiency is examined, and results are compared for separate samples of clinics for children and youths (BUP) with clinics for adults (VP).

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File URL: http://www.hero.uio.no/publicat/1999/HERO1999_4.pdf
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Paper provided by Oslo University, Health Economics Research Programme in its series HERO On line Working Paper Series with number 1999:4.

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Length: 21 pages
Date of creation: 01 Jul 2009
Date of revision:
Handle: RePEc:hhs:oslohe:1999_004
Contact details of provider: Postal: HERO / Institute of Health Management and Health Economics P.O. Box 1089 Blindern, N-0317 Oslo, Norway
Phone: 2307 5309
Fax: 2307 5310
Web page: http://www.hero.uio.no/eng.html
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  1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
  2. Kneip, A & Park, B-U & Simar, L, 1996. "A Note on the Convergence of Nonparametric DEA Efficiency Measures," Papers 9603, Catholique de Louvain - Institut de statistique.
  3. Gijbels, Irène & Mammen, Enno & Park, Byeong U. & Simar, Léopold, 1998. "On estimation of monotone and concave frontier functions," SFB 373 Discussion Papers 1998,9, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  4. Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May.
  5. SIMAR, Léopold & WILSON, Paul, 1995. "Sensitivity Analysis to Efficiency Scores : How to Bootstrap in Nonparametric Frontier Models," CORE Discussion Papers 1995043, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  6. Rajiv D. Banker, 1993. "Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation," Management Science, INFORMS, vol. 39(10), pages 1265-1273, October.
  7. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
  8. Kittelsen,S.A.C., 1999. "Monte Carlo simulations of DEA efficiency measures and hypothesis tests," Memorandum 09/1999, Oslo University, Department of Economics.
  9. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
  10. Tsybakov, A.B. & Korostelev, A.P. & Simar, L., 1992. "Efficient Estimation of Monotone Boundaries," Papers 9209, Catholique de Louvain - Institut de statistique.
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