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Kansas Wheat Yield Risk Measures And Aggregation: A Meta- Analysis Approach

Author

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  • Marra, Michele C.
  • Schurle, Bryan W.

Abstract

A meta-analysis approach to prediction of farm level yield risk from county level yield series is applied to Kansas wheat yields. A nonlinear relationship between county level and farm level yield risk is found, which indicates that yield risk increases at an increasing rate as the number of acres in the risk measure decreases. County level yield variability should be adjusted upward by approximately .1% for each percent difference in county acreage and average farm acreage within the county. The meta-analysis approach is shown to be promising for the prediction of farm level yield risk when farm level information is difficult to obtain.

Suggested Citation

  • Marra, Michele C. & Schurle, Bryan W., 1994. "Kansas Wheat Yield Risk Measures And Aggregation: A Meta- Analysis Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(01), July.
  • Handle: RePEc:ags:jlaare:31228
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    File URL: http://purl.umn.edu/31228
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    References listed on IDEAS

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    1. Just, Richard E & Zilberman, David, 1983. "Stochastic Structure, Farm Size and Technology Adoption in Developing Agriculture," Oxford Economic Papers, Oxford University Press, vol. 35(2), pages 307-328, July.
    2. Meyer, Jack, 1987. "Two-moment Decision Models and Expected Utility Maximization," American Economic Review, American Economic Association, vol. 77(3), pages 421-430, June.
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    Cited by:

    1. Zanini, Fabio C. & Irwin, Scott H. & Schnitkey, Gary D. & Sherrick, Bruce J., 2000. "Estimating Farm-Level Yield Distributions For Corn And Soybeans In Illinois," 2000 Annual meeting, July 30-August 2, Tampa, FL 21720, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. El Benni, Nadja & Finger, Robert & Mann, Stefan, 2012. "The effect of agricultural policy change on income risk in Swiss agriculture," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122532, European Association of Agricultural Economists.
    3. Gorski, T. & Gorska, K., 2003. "The effects of scale on crop yield variability," Agricultural Systems, Elsevier, vol. 78(3), pages 425-434, December.
    4. Djanibekov, Utkur & Finger, Robert, 2015. "The effects of variability under farm land consolidation process: A perspective of cotton-growing farmers in Uzbekistan," 2015 Conference, August 9-14, 2015, Milan, Italy 211829, International Association of Agricultural Economists.
    5. Lobell, David B. & Ortiz-Monasterio, J. Ivan & Falcon, Walter P., 2007. "Yield uncertainty at the field scale evaluated with multi-year satellite data," Agricultural Systems, Elsevier, vol. 92(1-3), pages 76-90, January.
    6. Sauer, Johannes & Finger, Robert, 2014. "Climate Risk Management Strategies in Agriculture – The Case of Flood Risk," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 172679, Agricultural and Applied Economics Association.
    7. El Benni, Nadja & Finger, Robert, 2014. "Where is the risk? Price, yield and cost risk in Swiss crop production," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 95(03), pages 299-326, September.
    8. Finger, Robert, 2012. "How strong is the “natural hedge”? The effects of crop acreage and aggregation levels," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122538, European Association of Agricultural Economists.
    9. Finger, Robert, 2012. "Biases in Farm-Level Yield Risk Analysis due to Data Aggregation," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 61(1).
    10. Kobus, Pawel, 2012. "Modelling yield risk measures of major crop plants," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122535, European Association of Agricultural Economists.
    11. Conradt, Sarah & Bokusheva, Raushan & Finger, Robert & Kussaiynov, Talgat, 0. "Yield Trend Estimation in the Presence of Farm Heterogeneity and Non-linear Technological Change," Quarterly Journal of International Agriculture, Humboldt-Universität zu Berlin, vol. 53.
    12. Trautman, Dawn E. & Jeffrey, Scott R. & Unterschultz, James R., 2013. "Farm Wealth Implications of Canadian Agricultural Business Risk Management Programs," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149881, Agricultural and Applied Economics Association.
    13. Haryanto, T. & Talib, B. A. & Salleh, N. H. M., 2016. "Technical Efficiency and Technology Gap in Indonesian Rice Farming," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 8(3), September.
    14. Griffin, Terry Wayne & Zapata, Samuel D., 2015. "Optimal Cotton Insecticide Application Termination Timing: A Meta-Analysis," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196815, Southern Agricultural Economics Association.

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    Keywords

    Risk and Uncertainty;

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