Heterogeneous Yield Impacts from Adoption of Genetically Engineered Corn and the Importance of Controlling for Weather
In: Agricultural Productivity and Producer Behavior
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- Jayson L. Lusk & Jesse Tack & Nathan P. Hendricks, 2017. "Heterogeneous Yield Impacts from Adoption of Genetically Engineered Corn and the Importance of Controlling for Weather," NBER Working Papers 23519, National Bureau of Economic Research, Inc.
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Cited by:
- Wolfram Schlenker, 2018. "Introduction to "Agricultural Productivity and Producer Behavior"," NBER Chapters, in: Agricultural Productivity and Producer Behavior, pages 1-9, National Bureau of Economic Research, Inc.
- Barry K. Goodwin & Nicholas E. Piggott, 2020. "Has Technology Increased Agricultural Yield Risk? Evidence from the Crop Insurance Biotech Endorsement," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1578-1597, October.
- 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.
- Thomas, Elizabeth & Fan, Linlin & Stevens, Andrew W., 2020. "Consumer Purchasing Response to Genetically Engineered Labeling," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304523, Agricultural and Applied Economics Association.
- Gaurav Arora & Hongli Feng & Christopher J. Anderson & David A. Hennessy, 2020. "Evidence of climate change impacts on crop comparative advantage and land use," Agricultural Economics, International Association of Agricultural Economists, vol. 51(2), pages 221-236, March.
- Ramsey, A., 2018. "Conditional Distributions of Crop Yields: A Bayesian Approach for Characterizing Technological Change," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277253, International Association of Agricultural Economists.
- A Ford Ramsey, 2020. "Probability Distributions of Crop Yields: A Bayesian Spatial Quantile Regression Approach," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 220-239, January.
- Monika Verma & Christine Plaisier & Coen P. A. van Wagenberg & Thom Achterbosch, 2019. "A Systems Approach to Food Loss and Solutions: Understanding Practices, Causes, and Indicators," Sustainability, MDPI, vol. 11(3), pages 1-22, January.
- Scheitrum, Daniel & Schaefer, K. Aleks & Nes, Kjersti, 2020. "Realized and potential global production effects from genetic engineering," Food Policy, Elsevier, vol. 93(C).
- Ortiz-Bobea, Ariel & Tack, Jesse B., 2018. "Another genetic yield revolution is needed to offset climate change effects on U.S. maize," 2018 Annual Meeting, August 5-7, Washington, D.C. 274380, Agricultural and Applied Economics Association.
- Liu, Menglin, 2022. "The effect of conservation tillage on corn and soybean yields in the US Corn Belt: a Post-Double-Selection method," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322417, Agricultural and Applied Economics Association.
- GwanSeon Kim & Mehdi Nemati & Steven Buck & Nicholas Pates & Tyler Mark, 2020. "Recovering Forecast Distributions of Crop Composition: Method and Application to Kentucky Agriculture," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
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More about this item
JEL classification:
- Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
- O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
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