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Utilizing Topographic and Soil Features to Improve Rating for Farm-Level Insurance Products

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  • Tsiboe, Francis
  • Tack, Jesse B.
Abstract
Previous studies have shown a strong correlation between topographic/soil features and agricultural production; however, linkages between these features and agricultural insurance products are scarce. Agricultural insurance is an ever‐growing means of governmental support for producers globally. However, failure to set insurance premiums that accurately reflect risk exposure can lead to low participation rates and/or adverse selection. The U.S. federal crop insurance program partly guards against this at the farm level by inducing pricing heterogeneity via a rate multiplier curve, which does not consider topographic/soil information. We develop a method for econometrically incorporating this information into existing rating procedures used by the Risk Management Agency (RMA). The empirical application leverages 149,267 farm‐level observations of Kansas producers across four dryland crops (corn, soybean, sorghum, and wheat), spanning forty‐six years, and matched to fine‐scale topographic/soil features. The results suggest that incorporating these features does improve the prediction accuracy of yield losses and can, in general, improve rating performance. However, these improvements are specific to farms with limited yield histories, as there are no improvements for farms with the commonly used yield history of ten years. This suggests substantial rating improvements for new farms or those with limited histories for a particular crop, but more general improvements for the program are not likely to occur given a large number of current participants with a full ten‐year yield history.
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Suggested Citation

  • Tsiboe, Francis & Tack, Jesse B., 2020. "Utilizing Topographic and Soil Features to Improve Rating for Farm-Level Insurance Products," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304187, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea20:304187
    DOI: 10.22004/ag.econ.304187
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    Cited by:

    1. Tsiboe, Francis & Turner, Dylan, 2023. "The crop insurance demand response to premium subsidies: Evidence from U.S. Agriculture," Food Policy, Elsevier, vol. 119(C).
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    3. Kuangyu Wen, 2023. "A semiparametric spatio‐temporal model of crop yield trend and its implication to insurance rating," Agricultural Economics, International Association of Agricultural Economists, vol. 54(5), pages 662-673, September.

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    Production Economics; Risk and Uncertainty; Agricultural and Food Policy;
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