Data envelopment analysis efficiency of public services: bootstrap simultaneous confidence region
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/362070
Tipus de documentArticle
Data publicació2019-12-17
EditorInstitut d'Estadística de Catalunya
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
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.
CitacióTapia, J.A.; Salvador, B.; Rodríguez, J.M. Data envelopment analysis efficiency of public services: bootstrap simultaneous confidence region. "SORT", 17 Desembre 2019, vol. 43, núm. 2, p. 337-354.
ISSN1696-2281
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43.2.7.tapia-etal.pdf | 163,2Kb | Visualitza/Obre |