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Endogenous Regional Agricultural Production Technologies

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  • Fawson, Chris
  • Shumway, C. Richard

Abstract

This research ·examines and compares estimates of technical bias for each of ten multistate farm production regions comprising the contiguous 48 states of the United States. The applied methodology allows for price-dependent aggregate technical choice and stochastic variation of the production technology in computing measures of technical bias.

Suggested Citation

  • Fawson, Chris & Shumway, C. Richard, 1990. "Endogenous Regional Agricultural Production Technologies," 1990 Annual meeting, August 5-8, Vancouver, Canada 270879, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea90:270879
    DOI: 10.22004/ag.econ.270879
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    References listed on IDEAS

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    1. Livernois, John R & Ryan, David L, 1989. "Testing for Non-jointness in Oil and Gas Exploration: A Variable Profit Function Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(2), pages 479-504, May.
    2. McKay, Lloyd & Lawrence, Denis & Vlastuin, Chris, 1983. "Profit, Output Supply, and Input Demand Functions for Multiproduct Firms: The Case of Australian Agriculture," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 24(2), pages 323-339, June.
    3. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
    4. Chris Fawson & C. Richard Shumway & Robert L. Basmann, 1990. "Agricultural Production Technologies with Systematic and Stochastic Technical Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(1), pages 182-199.
    5. Lau, Lawrence J., 1978. "Applications of Profit Functions," Histoy of Economic Thought Chapters, in: Fuss, Melvyn & McFadden, Daniel (ed.),Production Economics: A Dual Approach to Theory and Applications, volume 1, chapter 3, McMaster University Archive for the History of Economic Thought.
    6. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    7. Alain De Janvry, 1972. "The Generalized Power Production Function," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 54(2), pages 234-237.
    8. Kumbhakar, Subal C, 1988. "On the Estimation of Technical and Allocative Inefficiency Using Stochastic Frontier Functions: The Case of U.S. Class 1 Railroads," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 29(4), pages 727-743, November.
    9. Varian, Hal R., 1985. "Non-parametric analysis of optimizing behavior with measurement error," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 445-458.
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