IDEAS home Printed from https://ideas.repec.org/p/ags/aaea16/235750.html
   My bibliography  Save this paper

Can Crop Productivity Indices Improve Crop Insurance Rates?

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/235750/files/Crop%20Productivity%20Index_2016_06_17_AAEA%20update.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.235750?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Schnitkey, Gary, 2012. "Crop Insurance in 2012," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 2, July.
    9. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    10. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francis Tsiboe & Jesse Tack, 2022. "Utilizing Topographic and Soil Features to Improve Rating for Farm‐Level Insurance Products," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 52-69, January.
    2. Baylis, Kathy & Paulson, Nicholas D. & Piras, Gianfranco, 2011. "Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(3), pages 325-338, August.
    3. Chengguo Weng & Lysa Porth & Ken Seng Tan & Ryan Samaratunga, 2017. "Modelling the Sustainability of the Canadian Crop Insurance Program: A Reserve Fund Process Under a Public–Private Partnership Model," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 42(2), pages 226-246, April.
    4. Knight, Thomas O. & Coble, Keith H., 1999. "Actuarial Effects of Unit Structure in the U.S. Actual Production History Crop Insurance Program," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 31(3), pages 519-535, December.
    5. Ashimwe, Olive, 2016. "An Economic Analysis Of Impact Of Weather Index-Based Crop Insurance On Household Income In Huye District Of Rwanda," Research Theses 265675, Collaborative Masters Program in Agricultural and Applied Economics.
    6. Zulauf, Carl R. & Orden, David, 2014. "Assessing the Political Economy of the 2014 U.S. Farm Bill," 2014: Food, Resources and Conflict, December 7-9, 2014. San Diego, California 197160, International Agricultural Trade Research Consortium.
    7. 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.
    8. Woodard, Joshua D. & Garcia, Philip, 2008. "Weather Derivatives, Spatial Aggregation, and Systemic Risk: Implications for Reinsurance Hedging," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(01), pages 1-18, April.
    9. Richards, Timothy J. & Manfredo, Mark R., 2003. "Infrequent Shocks and Rating Revenue Insurance: A Contingent Claims Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(2), pages 1-19, August.
    10. Porth, Lysa & Tan, Ken Seng & Zhu, Wenjun, 2016. "A Relational Model for Predicting Farm-Level Crop Yield Distributions in the Absence of Farm-Level Data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236278, Agricultural and Applied Economics Association.
    11. Alexandre Gohin, 2019. "General Equilibrium Modelling of the Insurance Industry: U.S. Crop Insurance," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 4(2), pages 108-145, December.
    12. Zhiwei Shen & Martin Odening, 2013. "Coping with systemic risk in index-based crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 44(1), pages 1-13, January.
    13. Olivier Mahul, 1998. "Vers une redéfinition du rôle de l’assurance agricole dans la gestion des risques sur récoltes," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 49, pages 33-58.
    14. Ramirez, Octavio A. & Carpio, Carlos E. & Rejesus, Roderick M., 2011. "Can Crop Insurance Premiums Be Reliably Estimated?," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(01), pages 1-14, April.
    15. Eric J Belasco & Joseph Cooper & Vincent H Smith, 2020. "The Development of a Weather‐based Crop Disaster Program," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 240-258, January.
    16. Ai-Ju Shao & Tai-Yi Yu, 2022. "Spatial delineation approach to weather derivatives with three multivariate manners," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(2), pages 1227-1245, January.
    17. Martínez-Salgueiro, Andrea & Tarrazón-Rodón, María-Antonia, 2020. "Is diversification effective in reducing the systemic risk implied by a market for weather index-based insurance in Spain?," MPRA Paper 119924, University Library of Munich, Germany, revised 19 May 2021.
    18. David Orden & Carl Zulauf, 2015. "Political Economy of the 2014 Farm Bill," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(5), pages 1298-1311.
    19. Moharram Ainollahi Ahmadabadi & Mohammad Ghahremanzadeh & Ghader Dashti & Seyed-Ali Hosseini-Yekani, 2025. "Evaluating Producer Welfare Benefits of Whole-Farm Revenue Insurance," Agriculture, MDPI, vol. 15(2), pages 1-20, January.
    20. Yu, Tian, 2011. "Three essays on weather and crop yield," ISU General Staff Papers 201101010800002976, Iowa State University, Department of Economics.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea16:235750. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.