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  • 标题:Data envelopment analysis efficiency of public services: bootstrap simultaneous confidence region
  • 本地全文:下载
  • 作者:Jesús A. Tapia ; Bonifacio Salvador ; Jesús M. Rodríguez
  • 期刊名称:SORT-Statistics and Operations Research Transactions
  • 印刷版ISSN:2013-8830
  • 出版年度:2019
  • 页码:337-354
  • DOI:10.2436/20.8080.02.91
  • 出版社:SORT- Statistics and Operations Research Transactions
  • 摘要:Public services, such as higher education, medical services, libraries or public administration offices, provide services to their customers. To obtain opinion-satisfaction indices of customers, it would be necessary to survey all the customers of the service (census), which is impossible. What is possible is to estimate the indices by surveying a random customer sample. The efficiency obtained with the classic data envelopment analysis models, considering the opinion indices of the customers of the public service as output data estimated with a user sample, will be an estimation of the obtained efficiency if the census is available. This paper proposes a bootstrap methodology to build a confidence region to simultaneously estimate the population data envelopment analysis efficiency score vector of a set of public service-producing units, with a fixed confidence level and using deterministic input data and estimated customer opinion indices as output data. The usefulness of the result is illustrated by describing a case study comparing the efficiency of libraries.
  • 关键词:Data envelopment analysis;sampling survey research;public sector;bootstrap;simultaneous confidence region
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