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Yield uncertainty at the field scale evaluated with multi-year satellite data

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  • Lobell, David B.
  • Ortiz-Monasterio, J. Ivan
  • Falcon, Walter P.

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  • 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.
  • Handle: RePEc:eee:agisys:v:92:y:2007:i:1-3:p:76-90
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    References listed on IDEAS

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    1. Richard E. Just & Quinn Weninger, 1999. "Are Crop Yields Normally Distributed?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(2), pages 287-304.
    2. Bruce J. Sherrick & Fabio C. Zanini & Gary D. Schnitkey & Scott H. Irwin, 2004. "Crop Insurance Valuation under Alternative Yield Distributions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 406-419.
    3. Margot Rudstrom & Michael Popp & Patrick Manning & Edward Gbur, 2002. "Data Aggregation Issues for Crop Yield Risk Analysis," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 50(2), pages 185-200, July.
    4. Joseph Atwood & Saleem Shaik & Myles Watts, 2002. "Can Normality of Yields Be Assumed for Crop Insurance?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 50(2), pages 171-184, July.
    5. Gorski, T. & Gorska, K., 2003. "The effects of scale on crop yield variability," Agricultural Systems, Elsevier, vol. 78(3), pages 425-434, December.
    6. Harwood, Joy L. & Heifner, Richard G. & Coble, Keith H. & Perry, Janet E. & Somwaru, Agapi, 1999. "Managing Risk in Farming: Concepts, Research, and Analysis," Agricultural Economic Reports 34081, United States Department of Agriculture, Economic Research Service.
    7. Debrah, Siegfried & Hall, Harry H., 1989. "Data aggregation and farm risk analysis," Agricultural Systems, Elsevier, vol. 31(3), pages 239-245.
    8. 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(1), pages 1-9, July.
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    Cited by:

    1. Quiroga, Sonia & Iglesias, Ana, 2009. "A comparison of the climate risks of cereal, citrus, grapevine and olive production in Spain," Agricultural Systems, Elsevier, vol. 101(1-2), pages 91-100, June.
    2. Su, Shiliang & Hu, Yi’na & Luo, Fanghan & Mai, Gengchen & Wang, Yaping, 2014. "Farmland fragmentation due to anthropogenic activity in rapidly developing region," Agricultural Systems, Elsevier, vol. 131(C), pages 87-93.
    3. Castañeda-Vera, Alba & Garrido, Alberto, 2017. "Evaluation of risk management tools for stabilising farm income under CAP 2014-2020," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 17(01), June.
    4. Munialo Sussy & Hall Ola & Francisca Archila Bustos Maria & Boke-Olén Niklas & Onyango M. Cecilia & Oluoch-Kosura Willis & Marstorp Håkan & Göran Djurfeldt, 2019. "Micro-Spatial Analysis of Maize Yield Gap Variability and Production Factors on Smallholder Farms," Agriculture, MDPI, vol. 9(10), pages 1-23, October.
    5. Finger, Robert, 2012. "Biases in Farm-Level Yield Risk Analysis due to Data Aggregation," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 61(01), pages 1-14, February.
    6. World Bank, 2010. "Improving Water Management in Rainfed Agriculture : Issues and Options in Water-Constrained Production Systems," World Bank Publications - Reports 13028, The World Bank Group.
    7. 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).
    8. Beddow, Jason M. & Hurley, Terrance M. & Pardey, Philip G. & Alston, Julian M., 2015. "Rethinking yield gaps," Staff Papers 201093, University of Minnesota, Department of Applied Economics.
    9. Sabina Thaler & Herbert Formayer & Gerhard Kubu & Miroslav Trnka & Josef Eitzinger, 2021. "Effects of Bias-Corrected Regional Climate Projections and Their Spatial Resolutions on Crop Model Results under Different Climatic and Soil Conditions in Austria," Agriculture, MDPI, vol. 11(11), pages 1-39, October.
    10. Jr‐Wei Huang & Sharon S. Yang & Chuang‐Chang Chang, 2018. "Modeling temperature behaviors: Application to weather derivative valuation," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(9), pages 1152-1175, September.
    11. Li, Xiaofei & Tack, Jesse B. & Coble, Keith H. & Barnett, Barry J., 2016. "Can Crop Productivity Indices Improve Crop Insurance Rates?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235750, Agricultural and Applied Economics Association.

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