A dynamic dual model under state-contingent production uncertainty
In this paper, we assess how production costs and capital accumulation patterns in agriculture have evolved over time, by paying special attention to the influence of risk. A dynamic state-contingent cost-minimisation approach is applied to assess production decisions in US agriculture over the last century. Results suggest the relevance of allowing for the stochastic nature of the production function which permits to capture both the differences in the costs of producing under different states of nature and the differences in the evolution of these costs over time, as well as the differential impacts of different states of nature on investment decisions. Oxford University Press and Foundation for the European Review of Agricultural Economics 2010; all rights reserved. For permissions, please email email@example.com, Oxford University Press.
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Volume (Year): 37 (2010)
Issue (Month): 3 (September)
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Yir-Hueih Luh & Spiro E. Stefanou, 1996. "Estimating Dynamic Dual Models under Nonstatic Expectations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(4), pages 991-1003.
- C. J. O'Donnell & W. E. Griffiths, 2006.
"Estimating State-Contingent Production Frontiers,"
American Journal of Agricultural Economics,
Agricultural and Applied Economics Association, vol. 88(1), pages 249-266.
- Chris O'Donnell & W.E. Griffiths, 2004. "Estimating State-Contingent Production Frontiers," CEPA Working Papers Series WP022004, School of Economics, University of Queensland, Australia.
- C.J. O'Donnell & W.E. Griffiths, 2004. "Estimating State-Contingent Production Frontiers," Department of Economics - Working Papers Series 911, The University of Melbourne.
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