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A Non-Parametric Analysis of Agricultural Technology

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  • Chavas, Jean-Paul
  • Cox, Thomas L.

Abstract

U.S. agricultural technology and technical change are analyzed nonparametrically under cost minimization and profit maximization. Based on annual data for 1948–83, various separability hypotheses concerning the aggregate production function for U.S. agriculture are investigated. The proposed nonparametric approach also provides some insights into the nature of technical change.
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Suggested Citation

  • Chavas, Jean-Paul & Cox, Thomas L., 1987. "A Non-Parametric Analysis of Agricultural Technology," Staff Papers 200453, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    • Handle: RePEc:ags:wisagr:200453
    DOI: 10.22004/ag.econ.200453
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    References listed on IDEAS

    as
    1. Stevenson, Rodney, 1980. "Measuring Technological Bias," American Economic Review, American Economic Association, vol. 70(1), pages 162-173, March.
    2. Susan M. Capalbo & Michael Denny, 1985. "Testing Long-Run Productivity Models for the Canadian and U.S. Agricultural Sectors," NBER Working Papers 1764, National Bureau of Economic Research, Inc.
    3. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
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    6. C. Richard Shumway, 1983. "Supply, Demand, and Technology in a Multiproduct Industry: Texas Field Crops," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(4), pages 748-760.
    7. Sato, Ryuzo, 1970. "The Estimation of Biased Technical Progress and the Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 11(2), pages 179-208, June.
    8. J. R. Hicks, 1963. "The Theory of Wages," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-00189-7, October.
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