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Cost Functions and Duality for Stochastic Technologies

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  • Robert G. Chambers
  • John Quiggin

Abstract

Cost functions dual to stochastic production technologies are derived and their properties are discussed. These cost functions are shown to be consistent with expected-utility maximization without placing serious structural restrictions on the underlying technology. Copyright 1998, Oxford University Press.

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Bibliographic Info

Article provided by Agricultural and Applied Economics Association in its journal American Journal of Agricultural Economics.

Volume (Year): 80 (1998)
Issue (Month): 2 ()
Pages: 288-295

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Handle: RePEc:oup:ajagec:v:80:y:1998:i:2:p:288-295

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Cited by:
  1. Chambers, Robert G & Quiggin, John, 2005. "Cost minimization and asset pricing," Risk and Sustainable Management Group Working Papers 151170, University of Queensland, School of Economics.
  2. O'Donnell, Chris & Chambers, Robert G & Quiggin, John, 2006. "Efficiency analysis in the presence of uncertainty," Risk and Sustainable Management Group Working Papers 151176, University of Queensland, School of Economics.
  3. Quiggin, John C. & Chambers, Robert G., 2004. "Drought policy: a graphical analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), June.
  4. Just, Richard E., 2003. "Risk research in agricultural economics: opportunities and challenges for the next twenty-five years," Agricultural Systems, Elsevier, vol. 75(2-3), pages 123-159.
  5. Chambers, Robert G & Quiggin, John, 2003. "Separability of stochastic production decisions from producer risk preferences in the presence of financial markets," Risk and Sustainable Management Group Working Papers 150348, University of Queensland, School of Economics.
  6. Serra, Teresa & Chambers, Robert G. & Oude Lansink, Alfons, 2014. "Measuring technical and environmental efficiency in a state-contingent technology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 706-717.
  7. Just, Richard E., 2000. "Some Guiding Principles For Empirical Production Research In Agriculture," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 29(2), October.
  8. Moschini, GianCarlo, 2001. "Production risk and the estimation of ex-ante cost functions," Journal of Econometrics, Elsevier, vol. 100(2), pages 357-380, February.
  9. Quiggin, John C. & Chambers, Robert G., 2006. "The state-contingent approach to production under uncertainty," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(2), June.
  10. Jaenicke, Edward C. & Larson, James A., 2001. "Production Risk Revisited In A Stochastic Frontier Framework: Evaluating Noise And Inefficiency In Cover Crop Systems," 2001 Annual meeting, August 5-8, Chicago, IL 20477, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  11. Stefanos Nastis & Thomas Crocker, 2007. "A note on parental and child risk valuation," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 38(1), pages 119-134, September.
  12. Xavier Vollenweider, 2014. "A simple framework for the estimation of climate exposure," Grantham Research Institute on Climate Change and the Environment Working Papers 158, Grantham Research Institute on Climate Change and the Environment.
  13. Quiggin, John & Chambers, Robert G, 2005. "The state-contingent approach to production and uncertainty," Risk and Sustainable Management Group Working Papers 151168, University of Queensland, School of Economics.
  14. Lusk, Jayson L. & Featherstone, Allen M. & Marsh, Thomas L. & Abdulkadri, Abdullahi O., 2002. "Empirical properties of duality theory," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 46(1), March.
  15. Cherchye, L. & Post, G.T., 2001. "Methodological Advances in Dea," ERIM Report Series Research in Management ERS-2001-53-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.

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