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Fifteen Years Later: Examining the Adoption of Bt Corn Varieties by U.S. Farmers

Author

Listed:
  • Fernandez-Cornejo, Jorge
  • Wechsler, Seth James

Abstract

This study presents recent results on the impact of adopting Bt corn on farm profits, yields, and seed and insecticide use. The study employs an econometric model that corrects for self-selection and simultaneity and uses farm-level survey data for 2010. Results confirm previous findings that Bt adoption is associated with increased profits and yields. However the Bt adoption is not significantly related to insecticide use as infestation levels in 2010 are very low and 90 percent of the farmers in the sample did not use insecticides at all.

Suggested Citation

  • Fernandez-Cornejo, Jorge & Wechsler, Seth James, 2012. "Fifteen Years Later: Examining the Adoption of Bt Corn Varieties by U.S. Farmers," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124257, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea12:124257
    DOI: 10.22004/ag.econ.124257
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    References listed on IDEAS

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    1. Geweke, John, 1989. "Bayesian Inference in Econometric Models Using Monte Carlo Integration," Econometrica, Econometric Society, vol. 57(6), pages 1317-1339, November.
    2. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
    3. Vella, Francis, 1993. "A Simple Estimator for Simultaneous Models with Censored Endogenous Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 34(2), pages 441-457, May.
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    5. Keane, Michael P, 1992. "A Note on Identification in the Multinomial Probit Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(2), pages 193-200, April.
    6. Sara Savastano & Pasquale Lucio Scandizzo, 2010. "The Adoption and Diffusion of GM Crops in USA: A Real Option Approach," CEIS Research Paper 169, Tor Vergata University, CEIS, revised 20 Jul 2010.
    7. Vassilis A. Hajivassiliou & Daniel L. McFadden, 1998. "The Method of Simulated Scores for the Estimation of LDV Models," Econometrica, Econometric Society, vol. 66(4), pages 863-896, July.
    8. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    9. Fernandez-Cornejo, Jorge & Hendricks, Chad & Mishra, Ashok K., 2005. "Technology Adoption and Off-Farm Household Income: The Case of Herbicide-Tolerant Soybeans," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 37(3), pages 1-15, December.
    10. David Roodman, 2009. "Mixed-process models with cmp," DC09 Stata Conference 11, Stata Users Group.
    11. Fernandez-Cornejo, Jorge & Li, Jiayi, 2005. "The Impacts of Adopting Genetically Engineered Crops in the USA: The Case of Bt Corn," 2005 Annual meeting, July 24-27, Providence, RI 19318, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
    13. McBride, William D. & El-Osta, Hisham S., 2002. "Impacts Of The Adoption Of Genetically Engineered Crops On Farm Financial Performance," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 34(1), pages 1-17, April.
    14. Duffy, Michael, 2001. "Who Benefits from Biotechnology?," Staff General Research Papers Archive 2084, Iowa State University, Department of Economics.
    15. David Roodman, 2009. "Estimating Fully Observed Recursive Mixed-Process Models with cmp," Working Papers 168, Center for Global Development.
    16. Fernandez-Cornejo, Jorge & McBride, William D., 2002. "Adoption Of Bioengineered Crops," Agricultural Economic Reports 33957, United States Department of Agriculture, Economic Research Service.
    17. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," Stata Journal, StataCorp LP, vol. 3(3), pages 278-294, September.
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