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荷兰医院的环境因素与生产力:半参数方法。

Environmental factors and productivity on Dutch hospitals: a semi-parametric approach.

机构信息

Institute for Public Sector Efficiency Studies, Delft University of Technology, P.O. Box 5015, 2600 GA Delft, The Netherlands.

出版信息

Health Care Manag Sci. 2010 Mar;13(1):27-34. doi: 10.1007/s10729-009-9104-0.

Abstract

This paper describes the efficiency of Dutch hospitals using the method of Data Envelopment Analysis (DEA). In particular the analysis focuses on explaining cost inefficiency measures due to each hospital's operating environment. In previous works, the resulting DEA score is regressed on environmental factors via a Tobit approach. Previously, these approaches have been used (Simar and Wilson, J Prod Anal 7(1):63-80, 2000) but later these authors (Simar and Wilson 2007) demonstrated that bias is incurred since the efficiency score is a point estimate without a probability distribution around it that is required by the Tobit methodology. In this paper we use the Simar and Wilson bootstrapping techniques in order to obtain more efficient estimates of the environmental effects. It is shown that differences in estimated effects exist between the non-bootstrapped and bootstrapped models.

摘要

本文使用数据包络分析(DEA)方法描述了荷兰医院的效率。特别是,该分析侧重于解释由于每家医院的运营环境而导致的成本无效率措施。在以前的工作中,通过 Tobit 方法将产生的 DEA 得分回归到环境因素上。以前,已经使用了这些方法(Simar 和 Wilson,J Prod Anal 7(1):63-80,2000),但后来这些作者(Simar 和 Wilson,2007)证明,由于效率得分是一个没有概率分布的点估计,而 Tobit 方法需要概率分布,因此会产生偏差。在本文中,我们使用 Simar 和 Wilson 的自举技术来获得环境影响的更有效估计。结果表明,非自举和自举模型之间存在估计效果的差异。

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