The Use of Data Envelopment Analysis with Probabilistic Assurance Regions for Measuring Hospital Efficiency
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- 作者：Ole B. Olesen and Niels C. Petersen
- 关键词：data envelopment analysis ; chance constrained programming ; hospital efficiency
- 刊名：Journal of Productivity Analysis
- 出版时间：2002
- 出版年：2002
- 期刊代码：12_0895562X
- 类别：eco
- 卷：17
- 期：1/2
- 页码：83-109
- 数据来源：sp
摘要
This paper uses Data Envelopment Analysis (DEA) for an estimation of the cost efficiency of 70 Danish hospitals. The analysis relates to a cost function based on 483 outputs in combination with a set of probabilistic assurance regions defined by the cost distributions for each output. It is demonstrated that the probabilistic assurance region approach allows for (i) a frontier estimation in the full output space, i.e., no fixed aggregation is required, and (ii) a controlling of the variation in heterogeneity of the output clusters, in casu Diagnosis Related Groups. The likelihood of the estimated efficiency score for a given hospital can be measured based on the sensitivity of the score w.r.t. the probability levels used in the specification of confidence intervals for the probabilistic assurance regions.