This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Hospital productivity and the Norwegian ownership reform – A Nordic comparative study

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Kittelsen, Sverre A.C. () (Ragnar Frisch Centre for Economic Research)
Magnussen, Jon (Department of Public Health and Community Medicine)
Sarheim Anthun, Kjartan (SINTEF Health Research)
Häkkinen, Unto (Centre for Health Economics)
Linna, Miika (Centre for Health Economics)
Medin, Emma (Medical Management Centre)
Olsen, Kim Rose (Danish Institute for Health Services Research)
Rehnberg, Clas (Medical Management Centre)

Additional information is available for the following registered author(s):

Abstract

In a period where decentralisation seemed to be the prominent trend, Norway in 2002 chose to re-centralise the hospital sector. The reform had three main aims; cost control, efficiency and reduced waiting times. This study investigates whether the hospital reform has improved hospital productivity using the other four major Nordic countries as controls. Hospital productivity measures are obtained using data envelopment analysis (DEA) on a comparable dataset of 728 Nordic hospitals in the period 1999 to 2004. First a common reference frontier is established for the four countries, enveloping the technologies of each of the countries and years. Bootstrapping techniques are applied to the obtained productivity estimates to assess uncertainty and correct for bias. Second, these are regressed on a set of explanatory variables in order to separate the effect of the hospital reform from the effects of other structural, financial and organizational variables. A fixed hospital effect model is used, as random effects and OLS specifications are rejected. Robustness is examined through alternate model specifications, including stochastic frontier analysis (SFA). The SFA approach in performed using the Battese & Coelli (1995) one stage procedure where the inefficiency term is estimated as a function of the set of explanatory variables used in the second stage in the DEA approach. Results indicate that the hospital reform in Norway seems to have improved the level of productivity in the magnitude of approximately 4 % or more. While there are small or contradictory estimates of the effects of case mix and activity based financing, the length of stay is clearly negatively associated with estimated productivity. Results are robust to choice of efficiency estimation technique and various definition of when the reform effect takes place.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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.hero.uio.no/publicat/2008/2008_10.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Oslo University, Health Economics Research Programme in its series HERO On line Working Paper Series with number 2008:10.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 25 pages
Date of creation: 02 Jun 2009
Date of revision:
Handle: RePEc:hhs:oslohe:2008_010

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
Email:
Web page: http://www.hero.uio.no/eng.html
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Gunn Kristin Tjoflot).

Related research
Keywords: Efficiency; productivity; DEA; SFA; hospitals;

Find related papers by JEL classification:
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
D24 - Microeconomics - - Production and Organizations - - - Production; Capital and Total Factor Productivity; Capacity
I12 - Health, Education, and Welfare - - Health - - - Health Production

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? You too can volunteer for RePEc, for example by encouraging others to use our services.

This page was last updated on 2009-11-21.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.