IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0145384.html
   My bibliography  Save this article

Policy Design of Multi-Year Crop Insurance Contracts with Partial Payments

Author

Listed:
  • Ying-Erh Chen
  • Barry K Goodwin

Abstract

Current crop insurance is designed to mitigate monetary fluctuations resulting from yield losses for a specific year. However, yield realization tendency can vary from year to year and may depend on the correlation of yield realizations across years. When the current single-year Yield Protection (YP) and Area Risk Protection Insurance (ARPI) contracts are extended to multiple periods, actuarially fair premium rate is expected to decrease as poor yield realizations in a year can be offset by another year’s better yield realizations. In this study, we first use simulations to demonstrate how significant premium savings are possible when coverage is based on the sum of yields across years rather than on a year-by-year basis. We then describe the design of a multi-year framework of crop insurance and model the insurance using a copula approach. Insurance terms are extended to more than a year and the premium, liability, and indemnity are determined by a multi-year term. Moreover, partial payment is provided at the end of each term to offset the possibility of significant loss in a single term. County-level data obtained from the U.S. Department of Agriculture are used to demonstrate the implementations of the proposed multi-year crop insurance. The proposed multi-year plan would benefit farmers by offering insurance guarantees across years for significantly lower costs.

Suggested Citation

  • Ying-Erh Chen & Barry K Goodwin, 2015. "Policy Design of Multi-Year Crop Insurance Contracts with Partial Payments," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-15, December.
  • Handle: RePEc:plo:pone00:0145384
    DOI: 10.1371/journal.pone.0145384
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0145384
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0145384&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0145384?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. Vedenov, Dmitry V., 2008. "Application of Copulas to Estimation of Joint Crop Yield Distributions," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6264, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Ostap Okhrin & Martin Odening & Wei Xu, 2013. "Systemic Weather Risk and Crop Insurance: The Case of China," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(2), pages 351-372, June.
    3. Paul Gallagher, 1987. "U.S. Soybean Yields: Estimation and Forecasting with Nonsymmetric Disturbances," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(4), pages 796-803.
    4. Gallagher, Paul W., 1987. "U.S. Soybean Yields: Estimation and Forecasting with Non-Symmetric Disturbances," Staff General Research Papers Archive 10779, Iowa State University, Department of Economics.
    5. Bruce A. Babcock & David A. Hennessy, 1996. "Input Demand under Yield and Revenue Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 416-427.
    6. Maynard, Trevor & Ranger, Nicola, 2012. "What role for “long-term insurance” in adaptation? An analysis of the prospects for and pricing of multi-year insurance contracts," LSE Research Online Documents on Economics 43326, London School of Economics and Political Science, LSE Library.
    7. Tejeda, Hernan A. & Goodwin, Barry K., 2008. "Modeling Crop prices through a Burr distribution and Analysis of Correlation between Crop Prices and Yields using a Copula method," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6061, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Carl H. Nelson, 1990. "The Influence of Distributional Assumptions on the Calculation of Crop Insurance Premia," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 12(1), pages 71-78.
    9. Paul Kleindorfer & Howard Kunreuther & Chieh Ou-Yang, 2012. "Single-year and multi-year insurance policies in a competitive market," Journal of Risk and Uncertainty, Springer, vol. 45(1), pages 51-78, August.
    10. Joshua D. Woodard & Bruce J. Sherrick & Gary D. Schnitkey, 2010. "Revenue Risk-Reduction Impacts of Crop Insurance in a Multicrop Framework," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(3), pages 472-488.
    11. Trevor Maynard & Nicola Ranger, 2012. "What Role for “Long-term Insurance” in Adaptation? An Analysis of the Prospects for and Pricing of Multi-year Insurance Contracts," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 37(2), pages 318-339, April.
    12. Mario J. Miranda & Joseph W. Glauber, 1997. "Systemic Risk, Reinsurance, and the Failure of Crop Insurance Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 206-215.
    13. Maria Osipenko & Zhiwei Shen & Martin Odening, 2015. "Is there a demand for multi-year crop insurance?," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 75(1), pages 92-102, May.
    14. Keith H. Coble & Thomas O. Knight & Rulon D. Pope & Jeffery R. Williams, 1996. "Modeling Farm-Level Crop Insurance Demand with Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 439-447.
    15. Barry K. Goodwin, 2009. "Payment Limitations and Acreage Decisions under Risk Aversion: A Simulation Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 19-41.
    16. Robert G. Chambers, 1989. "Insurability and Moral Hazard in Agricultural Insurance Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 604-616.
    17. Ralph R. Botts & James N. Boles, 1958. "Use of Normal-Curve Theory in Crop Insurance Ratemaking," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 40(3), pages 733-740.
    18. 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.
    19. Robert B. Borges & Walter N. Thurman, 1994. "Marketing Quotas and Random Yields: Marginal Effects of Inframarginal Subsidies on Peanut Supply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 809-817.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tobias Dalhaus & Barry J Barnett & Robert Finger, 2020. "Behavioral weather insurance: Applying cumulative prospect theory to agricultural insurance design under narrow framing," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-25, May.

    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. Coleman, Jane A. & Shaik, Saleem, 2009. "Time-Varying Estimation of Crop Insurance Program in Altering North Dakota Farm Economic Structure," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49516, Agricultural and Applied Economics Association.
    2. Chuck Mason & Dermot J. Hayes & Sergio H. Lence, 2002. "Systemic risk in U.S. crop reinsurance programs," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 63(1), pages 23-39, December.
    3. Alberto Garrido & David Zilberman, 2008. "Revisiting the demand for agricultural insurance: the case of Spain," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 68(1), pages 43-66, May.
    4. Gong, Xuche & Feng, Hongli & Hennessy, David A., 2018. "Systemic Risk, Geography and Area Insurance," 2018 Annual Meeting, August 5-7, Washington, D.C. 274479, Agricultural and Applied Economics Association.
    5. Feng, Xiaoguang & Hayes, Dermot J., 2014. "Is Government Involvement Really Necessary: Implications for Systemic Risk and Crop Reinsurance Contracts," ISU General Staff Papers 201410010700001002, Iowa State University, Department of Economics.
    6. Zaura Fadhliani & Jeff Luckstead & Eric J. Wailes, 2019. "The impacts of multiperil crop insurance on Indonesian rice farmers and production," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 15-26, January.
    7. Heidelbach, Olaf, 2007. "Efficiency of selected risk management instruments: An empirical analysis of risk reduction in Kazakhstani crop production," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 40, number 92323.
    8. Arora, Gaurav & Agarwal, Sandip K., 2020. "Agricultural input use and index insurance adoption: Concept and evidence," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304508, Agricultural and Applied Economics Association.
    9. Park, Eunchun & Brorsen, B. Wade & Harri, Ardian, 2016. "Using Bayesian Spatial Smoothing and Extreme Value Theory to Develop Area-Yield Crop Insurance Rating," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235754, Agricultural and Applied Economics Association.
    10. 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.
    11. Jing Wang & Feng Fang & Qiang Zhang & Jinsong Wang & Yubi Yao & Wei Wang, 2016. "Risk evaluation of agricultural disaster impacts on food production in southern China by probability density method," 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. 83(3), pages 1605-1634, September.
    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. A Ford Ramsey, 2020. "Probability Distributions of Crop Yields: A Bayesian Spatial Quantile Regression Approach," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 220-239, January.
    14. Liang, Weifang & Liu, Yong, 2023. "Rating Crop Insurance Contracts with Model Stacking of Gaussian Processes," 2023 Annual Meeting, July 23-25, Washington D.C. 335759, Agricultural and Applied Economics Association.
    15. Yong Liu & Alan P. Ker, 2021. "Simultaneous borrowing of information across space and time for pricing insurance contracts: An application to rating crop insurance policies," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(1), pages 231-257, March.
    16. Singerman, Ariel & Hart, Chad E. & Lence, Sergio H., 2012. "Revenue Protection for Organic Producers: Too Much or Too Little?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(3), pages 1-20.
    17. Mason, Charles Edwin, IV, 2000. "Estimation and attenuation of reinsurance risk in the crop insurance market," ISU General Staff Papers 2000010108000013703, Iowa State University, Department of Economics.
    18. Zhang Dongling & Yang Zehui, 2015. "Adverse Selection Risk Early-Warning of Agricultural Insurance Towards Food Quality Safety — Illustrated by an example of vegetable sites in Shandong province," Journal of Systems Science and Information, De Gruyter, vol. 3(3), pages 248-263, June.
    19. Myers, Robert J. & Liu, Yanyan & Hanson, Steven D., 2005. "How Should We Value Agricultural Insurance Contracts," 2005 Annual meeting, July 24-27, Providence, RI 19561, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Xiaotao Li & Jinzheng Ren & Beibei Niu & Haiping Wu, 2020. "Grain Area Yield Index Insurance Ratemaking Based on Time–Space Risk Adjustment in China," Sustainability, MDPI, vol. 12(6), pages 1-15, March.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0145384. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.