Nonparametric Methods for Evaluating Economic Efficiency and Imperfect Competition
This article unifies and extends ideas from nonparametric production analysis and DEA for testing organizational efficiency. We show how the admissible price set can be restricted to account for prior information on prices. These restrictions may relate prices to input and output quantities in order to test noncompetitive behavior of the evaluated decision making unit. While the resulting efficiency tests cannot always be cast into linear programming problems, we discuss various solution strategies for the tests. Thereby we consider the question when does local optimality of the result guarantee global optimality. We also show how the decision maker's preferences, for example ranking information, can be adopted into DEA models in a simple manner. Finally, the approach with price restrictions is illustrated with an application to test noncompetitive behavior of the pulp and paper industries in Finland. Copyright Kluwer Academic Publishers 2002
Volume (Year): 18 (2002)
Issue (Month): 2 (September)
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- H. Alan Love & C. Richard Shumway, 1994. "Nonparametric Tests for Monopsonistic Market Power Exertion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(5), pages 1156-1162.
- Hanoch, Giora & Rothschild, Michael, 1972. "Testing the Assumptions of Production Theory: A Nonparametric Approach," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 256-275, March-Apr.
- Merja Halme & Tarja Joro & Pekka Korhonen & Seppo Salo & Jyrki Wallenius, 1999. "A Value Efficiency Approach to Incorporating Preference Information in Data Envelopment Analysis," Management Science, INFORMS, vol. 45(1), pages 103-115, January.
- M. L. Chas-Amil & J. Buongiorno, 2000. "The demand for paper and paperboard: econometric models for the European Union," Applied Economics, Taylor & Francis Journals, vol. 32(8), pages 987-999.
- Halme, Merja & Korhonen, Pekka, 2000.
"Restricting weights in value efficiency analysis,"
European Journal of Operational Research,
Elsevier, vol. 126(1), pages 175-188, October.
- M. Halme & P. Korhonen, 1998. "Restricting Weights in Value Efficiency Analysis," Working Papers ir98104, International Institute for Applied Systems Analysis.
- R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
- Thompson, Russell G. & Langemeier, Larry N. & Lee, Chih-Tah & Lee, Euntaik & Thrall, Robert M., 1990. "The role of multiplier bounds in efficiency analysis with application to Kansas farming," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 93-108.
- M.J. Kallio & A. Ruszczynski, 1994. "Perturbation Methods for Saddle Point Computation," Working Papers wp94038, International Institute for Applied Systems Analysis.
- Varian, Hal R, 1984. "The Nonparametric Approach to Production Analysis," Econometrica, Econometric Society, vol. 52(3), pages 579-597, May.
- Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November. Full references (including those not matched with items on IDEAS)