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Genetically Modified Crops, an Input Distance Function Approach

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Author Info
Gardner, Justin
Nehring, Richard
Nelson, Carl

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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.

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Publisher Info
Paper provided by Southern Agricultural Economics Association in its series 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas with number 6800.

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Date of creation: 2008
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Handle: RePEc:ags:saeaed:6800

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Related research
Keywords: Production Economics; Genetically Modified Crops; Distance Function; Stochastic Frontier Analysis; Production Economics; Research Methods/ Statistical Methods;

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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.:
  1. 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. [Downloadable!] (restricted)
  2. Coelli, Tim & Perelman, Sergio, 2000. "Technical Efficiency of European Railways: A Distance Function Approach," Applied Economics, Taylor and Francis Journals, vol. 32(15), pages 1967-76, December. [Downloadable!] (restricted)
  3. Mundlak, Yair, 1996. "Production Function Estimation: Reviving the Primal," Econometrica, Econometric Society, vol. 64(2), pages 431-38, March. [Downloadable!] (restricted)
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This page was last updated on 2009-11-26.

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