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Hospital efficiency analysis through individual effects: A Bayesian approach

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  • Koop, G.
  • Osiewalski, J.
  • Steel, M.F.J.

    (Tilburg University, Center for Economic Research)

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Bibliographic Info

Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 1994-47.

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Date of creation: 1994
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Handle: RePEc:dgr:kubcen:199447

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Web page: http://center.uvt.nl

Related research

Keywords: Monte Carlo Technique; Hospitals; Bayesian Statistics; Markov Chains; Panel Data;

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References

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  1. Osiewalski, J. & Steel, M.F.J., 1989. "A Bayesian analysis of exogeneity in models pooling time-series and cross-section data," Discussion Paper 1989-14, Tilburg University, Center for Economic Research.
  2. Koop, Gary & Osiewalski, Jacek & Steel, Mark F J, 1994. "Bayesian Efficiency Analysis with a Flexible Form: The AIM Cost Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 339-46, July.
  3. Caves, Douglas W & Christensen, Laurits R & Tretheway, Michael W, 1980. "Flexible Cost Functions for Multiproduct Firms," The Review of Economics and Statistics, MIT Press, vol. 62(3), pages 477-81, August.
  4. Kopp, Raymond J. & Diewert, W. Erwin, 1982. "The decomposition of frontier cost function deviations into measures of technical and allocative efficiency," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 319-331, August.
  5. Vita, Michael G., 1990. "Exploring hospital production relationships with flexible functional forms," Journal of Health Economics, Elsevier, vol. 9(1), pages 1-21, June.
  6. 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 435-44, June.
  7. 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.
  8. Koop, Gary, 1994. " Recent Progress in Applied Bayesian Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 8(1), pages 1-34, March.
  9. SIMAR, Léopold, . "Estimating efficiencies from frontier models with panel data: a comparison of parametric, non-parametric and semi-parametric metods with bootstrapping," CORE Discussion Papers RP -995, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  10. 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.
  11. Breyer, Friedrich, 1987. "The specification of a hospital cost function : A comment on the recent literature," Journal of Health Economics, Elsevier, vol. 6(2), pages 147-157, June.
  12. 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.
  13. Gary Koop & M. F. J. Steel, 2004. "Bayesian Analysis of Stochastic Frontier Models," ESE Discussion Papers 19, Edinburgh School of Economics, University of Edinburgh.
  14. Grannemann, Thomas W. & Brown, Randall S. & Pauly, Mark V., 1986. "Estimating hospital costs : A multiple-output analysis," Journal of Health Economics, Elsevier, vol. 5(2), pages 107-127, June.
  15. McCulloch, Robert & Rossi, Peter E., 1994. "An exact likelihood analysis of the multinomial probit model," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 207-240.
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Citations

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Cited by:
  1. Bannour Boutheina & Labidi Moez, 2013. "Efficience des banques commerciales Tunisiennes: etude par l’approche de frontière stochastique," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 60(1), pages 103-132, March.
  2. Gary Koop, 1998. "Carbon dioxide emissions and economic growth: A structural approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(4), pages 489-515.

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