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Data Envelopment Analysis

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  • Ray,Subhash C.

Abstract

Using the neo-classical theory of production economics as the analytical framework, this book, first published in 2004, provides a unified and easily comprehensible, yet fairly rigorous, exposition of the core literature on data envelopment analysis (DEA) for readers based in different disciplines. The various DEA models are developed as nonparametric alternatives to the econometric models. Apart from the standard fare consisting of the basic input- and output-oriented DEA models formulated by Charnes, Cooper, and Rhodes, and Banker, Charnes, and Cooper, the book covers developments such as the directional distance function, free disposal hull (FDH) analysis, non-radial measures of efficiency, multiplier bounds, mergers and break-up of firms, and measurement of productivity change through the Malmquist total factor productivity index. The chapter on efficiency measurement using market prices provides the critical link between DEA and the neo-classical theory of a competitive firm. The book also covers several forms of stochastic DEA in detail.

Suggested Citation

  • Ray,Subhash C., 2012. "Data Envelopment Analysis," Cambridge Books, Cambridge University Press, number 9781107405264.
  • Handle: RePEc:cup:cbooks:9781107405264
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    Cited by:

    1. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2006. "Estimation of stochastic frontier production functions with input-oriented technical efficiency," Journal of Econometrics, Elsevier, vol. 133(1), pages 71-96, July.
    2. William Cooper & Jesús Pastor & Fernando Borras & Juan Aparicio & Diego Pastor, 2011. "BAM: a bounded adjusted measure of efficiency for use with bounded additive models," Journal of Productivity Analysis, Springer, vol. 35(2), pages 85-94, April.
    3. Augustyniak, Wojciech & López-Torres, Laura & Kalinowski, Sławomir, 2015. "Performance of Polish regional airports after accessing the European Union: Does liberalisation impact on airports' efficiency?," Journal of Air Transport Management, Elsevier, vol. 43(C), pages 11-19.
    4. Juan Aparicio & José Ruiz & Inmaculada Sirvent, 2007. "Closest targets and minimum distance to the Pareto-efficient frontier in DEA," Journal of Productivity Analysis, Springer, vol. 28(3), pages 209-218, December.
    5. Aparicio, Juan & Borras, Fernando & Pastor, Jesus T. & Vidal, Fernando, 2015. "Measuring and decomposing firm׳s revenue and cost efficiency: The Russell measures revisited," International Journal of Production Economics, Elsevier, vol. 165(C), pages 19-28.
    6. repec:wsi:ijitdm:v:11:y:2012:i:05:n:s0219622012500290 is not listed on IDEAS
    7. Mazumdar, Mainak & Rajeev, Meenakshi & Ray, Subhash C., 2012. "Sources of Heterogeneity in the Efficiency of Indian Pharmaceutical Firms," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 47(2), pages 191-221.
    8. Donald Vitaliano & Gregory Stella, 2009. "A Frontier Approach to Testing the Averch-Johnson Hypothesis," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 16(3), pages 347-363.
    9. Andreu, Monica Lopez & Featherstone, Allen M. & Langemeier, Michael R. & Grunewald, Orlen C., 2006. "Impact of Financial Variables on Production in Kansas Farms Efficiencies," 2006 Annual meeting, July 23-26, Long Beach, CA 21406, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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