Data envelopment analysis efficiency in the public sector using provider and customer opinion: An application to the Spanish health system.
J. A. Tapia García, B. Salvador González
We illustrate an innovative way to measure the efficiency of service-producing units using stochastic quality indexes. The indexes obtained from the opinion-satisfaction of the customers are estimators of the quality of the service received (outputs); while, the quality of the offered service is estimated with opinion-satisfaction indexes of service providers (inputs). The estimation of these indicators is only possible by asking a customer and provider sample through surveys. With the object of achieving the best precision in the estimate, we propose results to determine the sample size of customers and providers needed so that with their answers can achieve a fixed accuracy in the estimation of the population efficiency of these service-producing units through the use of a novel one bootstrap confidence interval. Using this bootstrap methodology and quality opinion indexes, we analyze the efficiency in the health care system of Spain.
Keywords: Data envelopment analysis; sampling survey research, public sector, sample size, bootstrap, efficiency confidence interval
Scheduled
GT16 Decision Making and Process Improvement in Health Services. Decision in Health, Disasters, Development and Sustainability
June 9, 2022 12:00 PM
Conference hall
Other papers in the same session
D. Gomez Medina, V. Fernández-Viagas, J. M. Molina Pariente, S. Leal González, Á. M. Nuñez Jaldón, C. Bueno Mariscal
I. Flores, M. T. Ortuño Sánchez, G. Tirado Domínguez
D. García de Vicuña Bilbao, L. Esparza Artanga, F. Mallor Giménez
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