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Genetically Modified Crops, an Input Distance Function Approach


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


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

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    References listed on IDEAS

    1. 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.
    2. 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), October.
    3. 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.
    4. Mundlak, Yair, 1996. "Production Function Estimation: Reviving the Primal," Econometrica, Econometric Society, vol. 64(2), pages 431-438, March.
    5. 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.
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    More about this item


    Production Economics; Genetically Modified Crops; Distance Function; Stochastic Frontier Analysis; Production Economics; Research Methods/ Statistical Methods;

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