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Genetically Modified Crops, an Input Distance Function Approach

Author

Listed:
  • Gardner, Justin G.
  • Nehring, Richard F.
  • Nelson, Carl H.

Abstract

Our initial findings indicate that GM crops do not contribute to the decline of traditional family farms. We make a significant methodological impact by using the within transformation to remove unobserved individual effects and demonstrate that the within transformation results in ML estimates that are identical to OLS estimates.

Suggested Citation

  • Gardner, Justin G. & Nehring, Richard F. & Nelson, Carl H., 2008. "Genetically Modified Crops, an Input Distance Function Approach," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6800, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saeaed:6800
    DOI: 10.22004/ag.econ.6800
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    References listed on IDEAS

    as
    1. Richard Nehring & Jorge Fernandez-Cornejo & David Banker, 2005. "Off-farm labour and the structure of US agriculture: the case of corn/soybean farms," Applied Economics, Taylor & Francis Journals, vol. 37(6), pages 633-649.
    2. Xavier Irz & Colin Thirtle, 2004. "Dual Technological Development in Botswana Agriculture: A Stochastic Input Distance Function Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 55(3), pages 455-478, November.
    3. Bernard, John C. & Pesek, John D., Jr. & Fan, Chunbo, 2004. "Performance Results and Characteristics of Adopters of Genetically Engineered Soybeans in Delaware," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 33(2), pages 1-11, October.
    4. Mundlak, Yair, 2001. "Production and supply," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 1, pages 3-85, Elsevier.
    5. Bernard, John C. & Pesek, John D. & Fan, Chunbo, 2004. "Performance Results and Characteristics of Adopters of Genetically Engineered Soybeans in Delaware," Agricultural and Resource Economics Review, Cambridge University Press, vol. 33(2), pages 282-292, October.
    6. Tim Coelli & Sergio Perelman, 2000. "Technical efficiency of European railways: a distance function approach," Applied Economics, Taylor & Francis Journals, vol. 32(15), pages 1967-1976.
    7. Richard E. Just & Darrell L. Hueth, 1993. "Multimarket Exploitation: The Case of Biotechnology and Chemicals," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(4), pages 936-945.
    8. Paul, Catherine J. Morrison & Nehring, Richard, 2005. "Product diversification, production systems, and economic performance in U.S. agricultural production," Journal of Econometrics, Elsevier, vol. 126(2), pages 525-548, June.
    9. Mundlak, Yair, 1996. "Production Function Estimation: Reviving the Primal," Econometrica, Econometric Society, vol. 64(2), pages 431-438, March.
    10. Hoppe, Robert A. & Perry, Janet E. & Banker, David E., 2000. "ERS Farm Typology for a Diverse Agricultural Sector," Agricultural Information Bulletins 33657, United States Department of Agriculture, Economic Research Service.
    Full references (including those not matched with items on IDEAS)

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    Keywords

    Production Economics; Research Methods/ Statistical Methods;

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