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Data envelopment analysis efficiency of public services: bootstrap simultaneous confidence region

  • Jesús A. Tapia [1] ; Bonifacio Salvador [1] ; Jesús M. Rodríguez [2]
    1. [1] Universidad de Valladolid

      Universidad de Valladolid

      Valladolid, España

    2. [2] Junta de Castilla y León

      Junta de Castilla y León

      Valladolid, España

  • Localización: Sort: Statistics and Operations Research Transactions, ISSN 1696-2281, Vol. 43, Nº. 2, 2019, págs. 337-354
  • Idioma: inglés
  • Enlaces
  • Resumen

    • 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.

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