Event-specific data envelopment models and efficiency analysis
Most, if not all, production technologies are stochastic. This article demonstrates how data envelopment analysis (DEA) methods can be adapted to accommodate stochastic elements in a state-contingent setting. Specifically, we show how observations on a random input, not under the control of the producer and not known at the time that variable input decisions are made, can be used to partition the state space in a fashion that permits DEA models to approximate an event-specific production technology. The approach proposed in this article uses observed data on random inputs and is easy to implement. After developing the event-specific DEA representation, we apply it to a data set for Western Australian barley production data. Our results highlight the need for acknowledging stochastic elements in efficiency analysis.
Volume (Year): 55 (2011)
Issue (Month): 1 (March)
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References listed on IDEAS
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- Léopold Simar & Paul Wilson, 2000.
"Statistical Inference in Nonparametric Frontier Models: The State of the Art,"
Journal of Productivity Analysis,
Springer, vol. 13(1), pages 49-78, January.
- Simar, L. & Wilson, P.W., 1999. "Statistical Inference in Nonparametric Frontier Models: the State of the Art," Papers 9904, Catholique de Louvain - Institut de statistique.
- John Quiggin & David Adamson & Sarah Chambers & Peggy Schrobback, 2010. "Climate Change, Uncertainty, and Adaptation: The Case of Irrigated Agriculture in the Murray-Darling Basin in Australia," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 58(s1), pages 531-554, December.
- Quiggin, John & Adamson, David & Chambers, Sarah & Schrobback, Peggy, 2010. "Climate change, uncertainty and adaptation: the case of irrigated agriculture in the Murray-Darling Basin in Australia," Risk and Sustainable Management Group Working Papers 152096, University of Queensland, School of Economics.
- John Quiggin & David Adamson & Sarah Chambers & Peggy Schrobback, 2010. "Climate change, uncertainty and adaptation: the case of irrigated agriculture in the Murray–Darling Basin in Australia," Climate Change Working Papers WPC10_1, Risk and Sustainable Management Group, University of Queensland.
- Chambers,Robert G. & Quiggin,John, 2000. "Uncertainty, Production, Choice, and Agency," Cambridge Books, Cambridge University Press, number 9780521622448, December.
- Chambers,Robert G. & Quiggin,John, 2000. "Uncertainty, Production, Choice, and Agency," Cambridge Books, Cambridge University Press, number 9780521785235, December.
- Banker, Rajiv D. & Chang, Hsihui, 1995. "A simulation study of hypothesis tests for differences in efficiencies," International Journal of Production Economics, Elsevier, vol. 39(1-2), pages 37-54, April.
- Fraser, Iain & Graham, Mary, 2005. "Efficiency Measurement of Australian Dairy Farms: National and Regional Performance," Australasian Agribusiness Review, University of Melbourne, Melbourne School of Land and Environment, vol. 13.
- Robert G. Chambers & Erik Lichtenberg, 1996. "A Nonparametric Approach to the von Liebig-Paris Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 373-386.
- Chambers, Robert G. & Lichtenberg, Erik, 1994. "A Nonparametric Approach to the von Liebig-Paris Technology," Working Papers 197799, University of Maryland, Department of Agricultural and Resource Economics.
- Chambers, Christopher P. & Miller, Alan D., "undated". "Inefficiency," Working Papers WP2011/14, University of Haifa, Department of Economics, revised 30 Nov 2011.
- Rajiv D. Banker, 1993. "Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation," Management Science, INFORMS, vol. 39(10), pages 1265-1273, October. Full references (including those not matched with items on IDEAS)