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Genetically Modified Rootworm-Resistant Corn, Risk, and Weather: Evidence from High Dimensional Methods

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  • Aglasan, Serkan
  • Goodwin, Barry K.
  • Rejesus, Roderick

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  • Aglasan, Serkan & Goodwin, Barry K. & Rejesus, Roderick, 2020. "Genetically Modified Rootworm-Resistant Corn, Risk, and Weather: Evidence from High Dimensional Methods," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 305181, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea20:305181
    DOI: 10.22004/ag.econ.305181
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    1. Zou, Hui, 2006. "The Adaptive Lasso and Its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1418-1429, December.
    2. GianCarlo Moschini, 2008. "Biotechnology and the development of food markets: retrospect and prospects," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 35(3), pages 331-355, September.
    3. Joshua Woodard, 2016. "Big data and Ag-Analytics," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 76(1), pages 15-26, May.
    4. Alexandre Belloni & Victor Chernozhukov & Christian Hansen & Damian Kozbur, 2016. "Inference in High-Dimensional Panel Models With an Application to Gun Control," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 590-605, October.
    5. Tian Yu & Bruce A. Babcock, 2010. "Are U.S. Corn and Soybeans Becoming More Drought Tolerant?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1310-1323.
    6. Daniel Urban & Michael Roberts & Wolfram Schlenker & David Lobell, 2012. "Projected temperature changes indicate significant increase in interannual variability of U.S. maize yields," Climatic Change, Springer, vol. 112(2), pages 525-533, May.
    7. Francis Annan & Wolfram Schlenker, 2015. "Federal Crop Insurance and the Disincentive to Adapt to Extreme Heat," American Economic Review, American Economic Association, vol. 105(5), pages 262-266, May.
    8. Leeb, Hannes & Pötscher, Benedikt M., 2008. "Can One Estimate The Unconditional Distribution Of Post-Model-Selection Estimators?," Econometric Theory, Cambridge University Press, vol. 24(2), pages 338-376, April.
    9. Elizabeth Nolan & Paulo Santos, 2012. "The Contribution of Genetic Modification to Changes in Corn Yield in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(5), pages 1171-1188.
    10. Victor Chernozhukov & Christian Hansen & Martin Spindler, 2015. "Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments," American Economic Review, American Economic Association, vol. 105(5), pages 486-490, May.
    11. Fernandez-Cornejo, Jorge & Livingston, Michael J. & Mitchell, Lorraine & Wechsler, Seth, 2014. "Genetically Engineered Crops in the United States," Economic Research Report 164263, United States Department of Agriculture, Economic Research Service.
    12. Sanglestsawai, Santi & Rodriguez, Divina Gracia P. & Rejesus, Roderick M. & Yorobe, Jose M., 2017. "Production Risk, Farmer Welfare, and Bt Corn in the Philippines," Agricultural and Resource Economics Review, Cambridge University Press, vol. 46(3), pages 507-528, December.
    13. Chavas, Jean-Paul & Shi, Guanming, 2015. "An Economic Analysis of Risk, Management, and Agricultural Technology," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 40(1), pages 1-17.
    14. Leeb, Hannes & P tscher, Benedikt M., 2008. "Guest Editors' Editorial: Recent Developments In Model Selection And Related Areas," Econometric Theory, Cambridge University Press, vol. 24(02), pages 319-322, April.
    15. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2011. "Inference for High-Dimensional Sparse Econometric Models," Papers 1201.0220, arXiv.org.
    16. A. Belloni & D. Chen & V. Chernozhukov & C. Hansen, 2012. "Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain," Econometrica, Econometric Society, vol. 80(6), pages 2369-2429, November.
    17. Jayson L. Lusk & Jesse Tack & Nathan P. Hendricks, 2018. "Heterogeneous Yield Impacts from Adoption of Genetically Engineered Corn and the Importance of Controlling for Weather," NBER Chapters, in: Agricultural Productivity and Producer Behavior, pages 11-39, National Bureau of Economic Research, Inc.
    18. Michael J. Roberts & Wolfram Schlenker & Jonathan Eyer, 2013. "Agronomic Weather Measures in Econometric Models of Crop Yield with Implications for Climate Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 236-243.
    19. Olivier Deschênes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
    20. -, 2009. "The economics of climate change," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38679, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    21. Jesse Tack & Keith Coble & Barry Barnett, 2018. "Warming temperatures will likely induce higher premium rates and government outlays for the U.S. crop insurance program," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 635-647, September.
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    Cited by:

    1. Aglasan, Serkan & Rejesus, Roderick M., 2022. "Do Cover Crops Reduce Production Risk?," 2022 Annual Meeting, July 31-August 2, Anaheim, California 324776, Agricultural and Applied Economics Association.

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    Keywords

    Agricultural and Food Policy; Production Economics; Research Methods/ Statistical Methods;
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