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Testing scale efficiency in DEA models: a bootstrapping approach

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  • Mickael Lothgren
  • Magnus Tambour

Abstract

This paper presents a method for estimation and test of firm-specific scale efficiency using data envelopment analysis (DEA). The use of a simple bootstrap algorithm is proposed to perform firm-specific inference for scale efficiency. An empirical application using Swedish hospital data is provided. It is found that about 40% of the departments were scale efficient according to the original results. However, for about one-third of those departments the hypothesis of scale efficiency could be rejected.

Suggested Citation

  • Mickael Lothgren & Magnus Tambour, 1999. "Testing scale efficiency in DEA models: a bootstrapping approach," Applied Economics, Taylor & Francis Journals, vol. 31(10), pages 1231-1237.
    • Handle: RePEc:taf:applec:v:31:y:1999:i:10:p:1231-1237
    DOI: 10.1080/000368499323445
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    Citations

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    Cited by:

    1. Lamb, John D. & Tee, Kai-Hong, 2012. "Resampling DEA estimates of investment fund performance," European Journal of Operational Research, Elsevier, vol. 223(3), pages 834-841.
    2. Fengxia Dong & Allen Featherstone, 2006. "Technical and Scale Efficiencies for Chinese Rural Credit Cooperatives: A Bootstrapping Approach in Data Envelopment Analysis," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 4(1), pages 57-75.
    3. Kent Matthews & Zhiguo Xiao & Xu Zhang, 2009. "Rational Cost Inefficiency in Chinese Banks," Working Papers 292009, Hong Kong Institute for Monetary Research.
    4. Monica Giancotti & Annamaria Guglielmo & Marianna Mauro, 2017. "Efficiency and optimal size of hospitals: Results of a systematic search," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-40, March.
    5. Daniel Friesner & Ron Mittelhammer & Robert Rosenman, 2006. "Inferring the Latent Incidence of Inefficiency from DEA Estimates and Bayesian Priors," Working Papers 2006-8, School of Economic Sciences, Washington State University.
    6. Jakub Growiec & Anna Pajor & Dorota Gorniak & Artur Predki, 2015. "The shape of aggregate production functions: evidence from estimates of the World Technology Frontier," Bank i Kredyt, Narodowy Bank Polski, vol. 46(4), pages 299-326.
    7. Assaf, A., 2010. "Bootstrapped scale efficiency measures of UK airports," Journal of Air Transport Management, Elsevier, vol. 16(1), pages 42-44.
    8. Daniel Friesner & Matthew McPherson & Robert Rosenman, 2006. "Are Hospitals Seasonally Inefficient? Evidence from Washington State Hospitals," Working Papers 2006-3, School of Economic Sciences, Washington State University.
    9. Moradi-Motlagh, Amir & Babacan, Alperhan, 2015. "The impact of the global financial crisis on the efficiency of Australian banks," Economic Modelling, Elsevier, vol. 46(C), pages 397-406.
    10. Carlos Barros & Pedro Garcia-del-Barrio, 2011. "Productivity drivers and market dynamics in the Spanish first division football league," Journal of Productivity Analysis, Springer, vol. 35(1), pages 5-13, February.

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