Directional distance function for FDH technologies with an application to Tunisian public hospitals
Tunisian’s public hospitals have been often deemed inefficiency, yet unfortunately no empirical study has demonstrated the breadth and/or depth of this inefficiency. To address this issue, we develop a non parametric methodology to measure efficiency at patient level for five cardiology wards. This methodology is based on the estimation of the input directional distance function, using a recent developed linear form of free disposal hull model. Results show that, on average, each cardiology ward could save more than 50% of each input; whereas at the patient level, illness severity and patients’ profiles were associated with inefficiency. At the ward level, practice patterns and wards missions explain disparities on inefficiency. By defining sub-specializations or standard procedures for cardiology wards, we demonstrate where the public hospitals can save resources when treating these patients.
|Date of creation:||Jul 2008|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.ieseg.fr/
More information through EDIRC
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.:
- H. Leleu, 2006.
"A linear programming framework for free disposal hull technologies and cost functions: primal and dual models,"
- Leleu, Herve, 2006. "A linear programming framework for free disposal hull technologies and cost functions: Primal and dual models," European Journal of Operational Research, Elsevier, vol. 168(2), pages 340-344, January.
- W. Briec & K. Kerstens & P. Vanden Eeckaut, 2006.
"Non-convex Technologies and Cost Functions: Definitions, Duality and Nonparametric Tests of Convexity,"
- Walter Briec & Kristiaan Kerstens & Philippe Venden Eeckaut, 2004. "Non-convex Technologies and Cost Functions: Definitions, Duality and Nonparametric Tests of Convexity," Journal of Economics, Springer, vol. 81(2), pages 155-192, 02.
- Walter Briec & Kristiaan Kerstens & Philippe Vanden Eeckaut, 2006. "Non-convex Technologies and Cost Functions: Definitions, Duality and Nonparametric Tests of Convexity (Journal of Economics 81(2):155–192)," Journal of Economics, Springer, vol. 87(3), pages 307-308, 04.
- Léopold Simar & Paul Wilson, 2000.
"Statistical Inference in Nonparametric Frontier Models: The State of the Art,"
Journal of Productivity Analysis,
Springer, vol. 13(1), pages 49-78, January.
- 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.
- Luenberger, David G., 1992. "Benefit functions and duality," Journal of Mathematical Economics, Elsevier, vol. 21(5), pages 461-481.
When requesting a correction, please mention this item's handle: RePEc:ies:wpaper:e200803. 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: (Monika Marin)
If references are entirely missing, you can add them using this form.