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

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 environment...

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Detalles Bibliográficos
Autores principales: Blank, Jos L. T., Valdmanis, Vivian G.
Formato: Texto
Lenguaje:English
Publicado: Springer US 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2819656/
https://www.ncbi.nlm.nih.gov/pubmed/20402280
http://dx.doi.org/10.1007/s10729-009-9104-0
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author Blank, Jos L. T.
Valdmanis, Vivian G.
author_facet Blank, Jos L. T.
Valdmanis, Vivian G.
author_sort Blank, Jos L. T.
collection PubMed
description 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.
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spelling pubmed-28196562010-02-18 Environmental factors and productivity on Dutch hospitals: a semi-parametric approach Blank, Jos L. T. Valdmanis, Vivian G. Health Care Manag Sci Article 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. Springer US 2009-04-24 2010 /pmc/articles/PMC2819656/ /pubmed/20402280 http://dx.doi.org/10.1007/s10729-009-9104-0 Text en © The Author(s) 2009 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Article
Blank, Jos L. T.
Valdmanis, Vivian G.
Environmental factors and productivity on Dutch hospitals: a semi-parametric approach
title Environmental factors and productivity on Dutch hospitals: a semi-parametric approach
title_full Environmental factors and productivity on Dutch hospitals: a semi-parametric approach
title_fullStr Environmental factors and productivity on Dutch hospitals: a semi-parametric approach
title_full_unstemmed Environmental factors and productivity on Dutch hospitals: a semi-parametric approach
title_short Environmental factors and productivity on Dutch hospitals: a semi-parametric approach
title_sort environmental factors and productivity on dutch hospitals: a semi-parametric approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2819656/
https://www.ncbi.nlm.nih.gov/pubmed/20402280
http://dx.doi.org/10.1007/s10729-009-9104-0
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