Advanced Search
MyIDEAS: Login

Does prospective payment increase hospital (in)efficiency? Evidence from the Swiss hospital sector

Contents:

Author Info

  • Philippe K. Widmer

Abstract

Several European countries have followed the United States in introducing prospective payment for hospitals with the expectation of achieving cost efficiency gains. This article examines whether theoretical expectations of cost efficiency gains can be empirically confirmed. In contrast to previous studies, the analysis of Switzerland provides a comparison of a retrospective per diem payment system with a prospective global budget and a payment per patient case system. Using a sample of approximately 90 public financed Swiss hospitals during the years 2004 to 2009 and Bayesian inference of a standard and a random parameter frontier model, cost efficiency gains are found, particularly with a payment per patient case system. Payment systems designed to put hospitals at operating risk are more effective than retrospective payment systems. However, hospitals are heterogeneous with respect to their production technologies, making a random parameter frontier model the superior specification for Switzerland.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.econ.uzh.ch/static/wp/econwp053.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Department of Economics - University of Zurich in its series ECON - Working Papers with number 053.

as in new window
Length:
Date of creation: Dec 2011
Date of revision:
Handle: RePEc:zur:econwp:053

Contact details of provider:
Postal: Blümlisalpstrasse 10, CH-8006 Zürich
Phone: +41-1-634 22 05
Fax: +41-1-634 49 07
Email:
Web page: http://www.econ.uzh.ch/
More information through EDIRC

Related research

Keywords: Hospital inefficiency; prospective payment system; Bayesian inference; stochastic frontier analysis;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. repec:pra:mprapa:8100 is not listed on IDEAS
  2. Eric, Biørn & Hagen, Terje P. & Iversen, Tor & Magnussen, Jon, 2009. "Heterogenety in hospitals responses to a financial reform: A random coefficient analysis of the impact of activity-based financing on efficiency," HERO On line Working Paper Series 2006:9, Oslo University, Health Economics Research Programme.
  3. Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 77-105.
  4. Chalkley, Martin & Malcomson, James M., 2000. "Government purchasing of health services," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 15, pages 847-890 Elsevier.
  5. Philippe K. Widmer & Peter Zweifel & Mehdi Farsi, 2011. "Accounting for heterogeneity in the measurement of hospital performance," ECON - Working Papers 052, Department of Economics - University of Zurich.
  6. Chalkley, M. & Malcomson, J.M., 1995. "Contracting for health services when patient demand does not reflect quality," Discussion Paper Series In Economics And Econometrics 9514, Economics Division, School of Social Sciences, University of Southampton.
  7. 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.
  8. Biorn, Erik & Hagen, Terje P. & Iversen, Tor & Magnussen, Jon, 2002. "The Effect of Activity-Based Financing on Hospital Efficiency: A Panel Data Analysis of DEA Efficiency Scores 1992-2000," MPRA Paper 8099, University Library of Munich, Germany.
  9. 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.
  10. 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.
  11. Simar, L. & Wilson, P.W., 1999. "Statistical Inference in Nonparametric Frontier Models: the State of the Art," Papers 9904, Catholique de Louvain - Institut de statistique.
  12. Jim Griffin & Mark Steel, 2007. "Bayesian stochastic frontier analysis using WinBUGS," Journal of Productivity Analysis, Springer, vol. 27(3), pages 163-176, June.
  13. 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.
  14. 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.
  15. 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.
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:zur:econwp:053. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Marita Kieser).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.