Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-53569
Widmer, Philippe K; Zweifel, Peter; Farsi, Mehdi (2011). Accounting for Heterogeneity in the Measurement of Hospital Performance. Working paper series / Department of Economics No. 52, University of Zurich.
With prospective payment of hospitals becoming more common, measuring their performance is gaining in importance. However, the standard cost frontier model yields biased efficiency scores because it ignores technological heterogeneity between hospitals. In this paper, efficiency scores are derived from a random intercept and an extended random parameter frontier model, designed to overcome
the problem of unobserved heterogeneity in stochastic frontier analysis. Using a sample of 100 Swiss hospitals covering the years 2004 to 2007 and applying Bayesian inference, significant heterogeneity is found, suggesting rejection of the standard cost frontier model. Estimated inefficiency decreases even below the 14 percent reported by Hollingsworth (2008) for European countries. Accounting for unobserved heterogeneity would make hospitals rated below 85 percent efficiency according to the standard model gain up to 12 percentage points, serving to highlight the importance of heterogeneity correction in the estimation of hospital performance.
|Item Type:||Working Paper|
|Communities & Collections:||03 Faculty of Economics > Department of Economics|
Working Paper Series > Department of Economics
|JEL Classification:||C11, C33, D24, I18|
|Uncontrolled Keywords:||Hospital efficiency, unobserved heterogeneity, Bayesian inference, Switzerland, Stochastic Frontier Analysis|
|Deposited On:||20 Dec 2011 15:41|
|Last Modified:||17 Oct 2012 10:08|
|Series Name:||Working paper series / Department of Economics|
|Number of Pages:||19|
|ISSN:||1664-7041 (P) 1664-705X (E)|
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