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A Causal Analysis of the Effect of Conservation Tillage on U.S. Corn and Soybean Yield and Profitability

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  • Chen, Bowen
  • Gramig, Ben
  • Yun, Seong Do

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  • Chen, Bowen & Gramig, Ben & Yun, Seong Do, 2020. "A Causal Analysis of the Effect of Conservation Tillage on U.S. Corn and Soybean Yield and Profitability," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304296, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea20:304296
    DOI: 10.22004/ag.econ.304296
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    References listed on IDEAS

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    1. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    2. Yu Sheng & Jiping Ding & Jikun Huang, 2019. "The Relationship between Farm Size and Productivity in Agriculture: Evidence from Maize Production in Northern China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(3), pages 790-806.
    3. Roger Claassen & Eric N. Duquette & David J. Smith, 2018. "Additionality in U.S. Agricultural Conservation Programs," Land Economics, University of Wisconsin Press, vol. 94(1), pages 19-35.
    4. JunJie Wu & Bruce A. Babcock, 1998. "The Choice of Tillage, Rotation, and Soil Testing Practices: Economic and Environmental Implications," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 494-511.
    5. Ding, Ya & Schoengold, Karina & Tadesse, Tsegaye, 2009. "The Impact of Weather Extremes on Agricultural Production Methods: Does Drought Increase Adoption of Conservation Tillage Practices?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(3), pages 1-17, December.
    6. JunJie Wu & Richard M. Adams & Catherine L. Kling & Katsuya Tanaka, 2004. "From Microlevel Decisions to Landscape Changes: An Assessment of Agricultural Conservation Policies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 26-41.
    7. Michael Lechner & Anthony Strittmatter, 2019. "Practical procedures to deal with common support problems in matching estimation," Econometric Reviews, Taylor & Francis Journals, vol. 38(2), pages 193-207, February.
    8. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, November.
    9. King, Gary & Nielsen, Richard, 2019. "Why Propensity Scores Should Not Be Used for Matching," Political Analysis, Cambridge University Press, vol. 27(4), pages 435-454, October.
    10. Seong Do Yun & Benjamin M. Gramig, 2019. "Agro-Climatic Data by County: A Spatially and Temporally Consistent U.S. Dataset for Agricultural Yields, Weather and Soils," Data, MDPI, vol. 4(2), pages 1-20, May.
    11. Kosuke Imai & In Song Kim, 2019. "When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?," American Journal of Political Science, John Wiley & Sons, vol. 63(2), pages 467-490, April.
    12. Claassen, Roger & Bowman, Maria & McFadden, Jonathan & Smith, David & Wallander, Steven, 2018. "Tillage Intensity and Conservation Cropping in the United States," Economic Information Bulletin 277566, United States Department of Agriculture, Economic Research Service.
    13. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    14. Sekhon, Jasjeet S., 2011. "Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i07).
    Full references (including those not matched with items on IDEAS)

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    Keywords

    Resource/Energy Economics and Policy; Production Economics; Risk and Uncertainty;
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