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Can Crop Productivity Indices Improve Crop Insurance Rates?

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  • Li, Xiaofei
  • Tack, Jesse B.
  • Coble, Keith H.
  • Barnett, Barry J.

Abstract

This study explores whether the soil information contributes additional explanatory power beyond the base premium rate to crop insurance loss. By examining a panel of 697 counties from the Corn Belt states in the U.S. over the period of 2005—2015, we find the loss costs are systematically associated with the National Commodity Crop Productivity Index (NCCPI) conditioning on the county base premium rates, weather conditions, and year fixed effects. The loss cost rises first with NCCPI in lower NCCPI quartiles and then decreases in higher NCCPI quartile. In general, counties with medium NCCPI values are expected to have higher relative loss cost comparing with low and high NCCPI counties. The pattern of NCCPI’s effects is robust to different model specifications, heteroskedasticity and spatial correlation of data, as well as subsamples by insured acreage thresholds. The finding of this study presents empirical evidence that there is additional information embodied in soil and spatial variables not captured by the current base premium rates that is correlated with loss experiences. It suggests the potential to incorporate soil and spatial information to improve the crop insurance ratemaking.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:aaea16:235750
    DOI: 10.22004/ag.econ.235750
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    References listed on IDEAS

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    1. Woodard, Joshua D., 2016. "Integrating high resolution soil data into federal crop insurance policy: Implications for policy and conservation," Environmental Science & Policy, Elsevier, vol. 66(C), pages 93-100.
    2. Adhikari, Shyam & Knight, Thomas O. & Belasco, Eric J., 2012. "Evaluation of Crop Insurance Yield Guarantees and Producer Welfare with Upward-Trending Yields," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), pages 1-10, December.
    3. Joshua D. Woodard & Gary D. Schnitkey & Bruce J. Sherrick & Nancy Lozano‐Gracia & Luc Anselin, 2012. "A Spatial Econometric Analysis of Loss Experience in the U.S. Crop Insurance Program," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(1), pages 261-286, March.
    4. Schnitkey, Gary, 2012. "Crop Insurance in 2012," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 2, July.
    5. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    6. Michael Popp & Margot Rudstrom & Patrick Manning, 2005. "Spatial Yield Risk Across Region, Crop and Aggregation Method," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 53(2‐3), pages 103-115, June.
    7. Ardian Harri & Cumhur Erdem & Keith H. Coble & Thomas O. Knight, 2009. "Crop Yield Distributions: A Reconciliation of Previous Research and Statistical Tests for Normality," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(1), pages 163-182.
    8. Jerry R. Skees & Michael R. Reed, 1986. "Rate Making for Farm-Level Crop Insurance: Implications for Adverse Selection," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(3), pages 653-659.
    9. 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.
    10. Goodwin, Barry K., 1994. "Premium Rate Determination In The Federal Crop Insurance Program: What Do Averages Have To Say About Risk?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(2), pages 1-14, December.
    11. Adhikari, Shyam & Knight, Thomas O. & Belasco, Eric J., 2012. "Evaluation of Crop Insurance Yield Guarantees and Producer Welfare with Upward-Trending Yields," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(3), pages 367-376, December.
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