Data Envelopment Analysis: Theory, Methodology, and Applications

Charnes, A.; Cooper, W. W.; Lewin, Arie Y.; Seiford, Lawrence M.

doi:10.1007/978-94-011-0637-5

Cited by 1,392 publications

(434 citation statements)

References 85 publications

(151 reference statements)

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“…An exhaustive summary with over 400 articles (1978)(1979)(1980)(1981)(1982)(1983)(1984)(1985)(1986)(1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995) can be found in Seiford (1996). Detailed reviews are also presented in Seiford and Thrall (1990), Lovell (1993), Ali and Seiford (1993), , Charnes, Cooper, Lewin and Seiford (1994) and Coelli, Rao and Battese (1998). A later and complete analysis of DEA techniques can be found in Cooper, Seiford and Tone (2000).…”

Section: Discussionmentioning

confidence: 99%

Economic Efficiency and Frontier Techniques

Zamorano

2004

Journal of Economic Surveys

311

179

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Abstract. Most of the literature related to the measurement of economic efficiency has based its analysis either on parametric or on non-parametric frontier methods. The choice of estimation method has been an issue of debate, with some researchers preferring the parametric and others the non-parametric approach. The aim of this paper is to provide a critical and detailed review of both core frontier methods. In our opinion, no approach is strictly preferable to any other. Moreover, a careful consideration of their main advantages and disadvantages, of the data set utilized, and of the intrinsic characteristics of the framework under analysis will help us in the correct implementation of these techniques. Recent developments in frontier techniques and economic efficiency measurement such as Bayesian techniques, bootstrapping, duality theory and the analysis of sampling asymptotic properties are also considered in this paper.

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Section: Discussionmentioning

confidence: 99%

Economic Efficiency and Frontier Techniques

Zamorano

2004

Journal of Economic Surveys

311

179

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“…Thus, if PTE > SE then the major source of efficiency change (both increase and decrease) is improvement in pure technical efficiency, whereas if PTE < SE the major source of efficiency is an improvement in scale efficiency. Further details on the interpretation of these indices may be found in Charnes et al (1995). We can see that, for the largest banks, the major source of efficiency change was improvement in pure technical efficiency.…”

Section: Empirical Analysis and Resultsmentioning

confidence: 96%

“…If a window starts at time k(1 ≤ k ≤ T ) with window width w(1 ≤ w ≤ t − k), then the 9 Worthington (1999). 10 Charnes et al (1995), Yue (1992), Cooper et al (2007). 11 Cooper et al (2011).…”

Section: Window Analysismentioning

confidence: 99%

Application of Window Malmquist Index for Examination of Efficiency Change of Czech Commercial Banks

Palečková

2017

DANUBE: Law and Economics Review

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The aim of the paper is to apply the Window Malmquist index approach to examine the efficiency change of Czech commercial banks within the period 2004-2013. We used the Data Envelopment Analysis and the Window Malmquist index approaches to estimate the efficiency change of Czech commercial banks. The average efficiency computed under the assumption of constant returns to scale was 73% and under the assumption of variable returns to scale the value was 83%. We estimated the average positive efficiency growth of Czech commercial banks during the period 2004-2013. We found that average scale efficiency was 88%, which means that Czech commercial banks were of an inappropriate size, especially the largest banks.

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“…It has been extensively applied in performance evaluation and benchmarking of schools, hospitals, bank branches, production plants, etc. (Charnes et al, 1994) [7]. This paper provides an introduction to DEA and some important methodological extensions that have improved its effectiveness as a productivity analysis tool.…”

Section: Data Envelopment Analysismentioning

confidence: 99%