IDEAS home Printed from https://ideas.repec.org/a/eee/jfpoli/v101y2021ics0306919221000567.html
   My bibliography  Save this article

Premium rates and selection in specialty crop insurance markets: Evidence from the catastrophic coverage participation

Author

Listed:
  • Yu, Jisang
  • Sumner, Daniel A.
  • Lee, Hyunok

Abstract

Catastrophic coverage, fully-subsidized insurance that provides indemnities when yields fall below 50% of historical averages, has been the most widely used crop insurance product among specialty crop growers in the United States. Patterns in catastrophic coverage across a variety of fruit, vegetable, tree nut and horticultural crops and indicate that expected returns to “investing” in subsidized crop insurance affect the use of insurance. Our simple model shows that smaller net returns from higher coverages, imply more catastrophic and free coverage participations. Our econometric estimation uses observations of insured acreage, liabilities, indemnities, and premiums across 20 major crops and more than one thousand counties, over all the 23 years since catastrophic coverage became available. We find that a 10% reduction in the ratio of the indemnities to the premiums of non-catastrophic coverages, which implies a 4% reduction in expected returns to growers, leads to larger catastrophic coverage shares by almost one percent. Panel quantile regressions show that the result is robust to distributional assumptions. Estimation using subsamples and alternative specifications further confirm the robustness of our results. The conceptual and empirical results demonstrate the degree to which farms self-select into crop insurance products that provide greater expected payouts. Our empirical results also indicate that catastrophic coverage generates greater underwriting gains, which affects the reinsurance fund allocation of private insurers.

Suggested Citation

  • Yu, Jisang & Sumner, Daniel A. & Lee, Hyunok, 2021. "Premium rates and selection in specialty crop insurance markets: Evidence from the catastrophic coverage participation," Food Policy, Elsevier, vol. 101(C).
  • Handle: RePEc:eee:jfpoli:v:101:y:2021:i:c:s0306919221000567
    DOI: 10.1016/j.foodpol.2021.102079
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306919221000567
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.foodpol.2021.102079?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lyson, Helena C., 2016. "National policy and state dynamics: A state-level analysis of the factors influencing the prevalence of farm to school programs in the United States," Food Policy, Elsevier, vol. 63(C), pages 23-35.
    2. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    3. 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(1), pages 1-14, April.
    4. Jensen, Nathaniel D. & Mude, Andrew G. & Barrett, Christopher B., 2018. "How basis risk and spatiotemporal adverse selection influence demand for index insurance: Evidence from northern Kenya," Food Policy, Elsevier, vol. 74(C), pages 172-198.
    5. D. Murakami & H. Seya, 2019. "Spatially filtered unconditional quantile regression: Application to a hedonic analysis," Environmetrics, John Wiley & Sons, Ltd., vol. 30(5), August.
    6. Barry K. Goodwin & Monte L. Vandeveer & John L. Deal, 2004. "An Empirical Analysis of Acreage Effects of Participation in the Federal Crop Insurance Program," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1058-1077.
    7. Cameron, A. Colin & Gelbach, Jonah B. & Miller, Douglas L., 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 238-249.
    8. Keith H. Coble & Robert Dismukes & Joseph W. Glauber, 2007. "Private Crop Insurers and the Reinsurance Fund Allocation Decision," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(3), pages 582-595.
    9. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    10. Michael Carter & Alain de Janvry & Elisabeth Sadoulet & Alexandros Sarris, 2017. "Index Insurance for Developing Country Agriculture: A Reassessment," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 421-438, October.
    11. Roderick M. Rejesus & Keith H. Coble & Thomas O. Knight & Yufei Jin, 2006. "Developing Experience-Based Premium Rate Discounts in Crop Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(2), pages 409-419.
    12. Skees, Jerry R., 2000. "A role for capital markets in natural disasters: a piece of the food security puzzle," Food Policy, Elsevier, vol. 25(3), pages 365-378, June.
    13. Lybbert, Travis J. & Sumner, Daniel A., 2012. "Agricultural technologies for climate change in developing countries: Policy options for innovation and technology diffusion," Food Policy, Elsevier, vol. 37(1), pages 114-123.
    14. Richard E. Just & Linda Calvin & John Quiggin, 1999. "Adverse Selection in Crop Insurance: Actuarial and Asymmetric Information Incentives," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 834-849.
    15. Shiva S. Makki & Agapi Somwaru, 2001. "Farmers' Participation in Crop Insurance Markets: Creating the Right Incentives," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 662-667.
    16. 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.
    17. Federico Belotti & Gordon Hughes & Andrea Piano Mortari, 2017. "Spatial panel-data models using Stata," Stata Journal, StataCorp LP, vol. 17(1), pages 139-180, March.
    18. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    19. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    20. Thow, Anne Marie & Verma, Garima & Soni, Deepa & Soni, Divya & Beri, Deepti Kumar & Kumar, Poorvaja & Siegel, Karen R. & Shaikh, Nida & Khandelwal, Shweta, 2018. "How can health, agriculture and economic policy actors work together to enhance the external food environment for fruit and vegetables? A qualitative policy analysis in India," Food Policy, Elsevier, vol. 77(C), pages 143-151.
    21. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    22. Jennifer Ifft & Todd Kuethe & Mitch Morehart, 2015. "The impact of decoupled payments on U.S. cropland values," Agricultural Economics, International Association of Agricultural Economists, vol. 46(5), pages 643-652, September.
    23. Juan He & Roderick Rejesus & Xiaoyong Zheng & Jose Yorobe, 2018. "Advantageous Selection in Crop Insurance: Theory and Evidence," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 646-668, September.
    24. Nicolai T. Borgen, 2016. "Fixed effects in unconditional quantile regression," Stata Journal, StataCorp LP, vol. 16(2), pages 403-415, June.
    25. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
    26. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    27. Joseph W. Glauber, 2013. "The Growth Of The Federal Crop Insurance Program, 1990--2011," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 482-488.
    28. Jisang Yu & Aaron Smith & Daniel A Sumner, 2018. "Effects of Crop Insurance Premium Subsidies on Crop Acreage," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(1), pages 91-114.
    29. Michael Carter & Alain de Janvry & Elisabeth Sadoulet & Alexandros Sarris, 2017. "Index Insurance for Developing Country Agriculture: A Reassessment," Annual Review of Resource Economics, Annual Reviews, vol. 9(1), pages 421-438, October.
    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. Skorbiansky, Sharon Raszap & Astill, Gregory & Rosch, Stephanie & Higgins, Elizabeth & Ifft, Jennifer & Rickard, Bradley, 2022. "Specialty Crop Participation in Federal Risk Management Programs," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 2022(Economic ), September.
    2. Han-Bin KANG & Hsuling CHANG & Tsangyao CHANG, 2022. "Catastrophe Reinsurance Pricing -Modification of Dynamic Asset-Liability Management," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-20, December.
    3. Hui Mao & Shaojian Chen & RuiYao Ying & Yong Fu, 2023. "How crop insurance influences agrochemical input use: Evidence from cotton farmers in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(2), pages 224-244, April.
    4. Jisang Yu & Gyuhyeong Goh, 2022. "Estimating temperature impacts on perennial crop losses in California: Insights from insurance data," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(3), pages 1409-1423, September.

    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. Jisang Yu & Daniel A. Sumner, 2018. "Effects of subsidized crop insurance on crop choices," Agricultural Economics, International Association of Agricultural Economists, vol. 49(4), pages 533-545, July.
    2. Quentin Stoeffler & Michael Carter & Catherine Guirkinger & Wouter Gelade, 2022. "The Spillover Impact of Index Insurance on Agricultural Investment by Cotton Farmers in Burkina Faso," The World Bank Economic Review, World Bank, vol. 36(1), pages 114-140.
    3. Juan He & Xiaoyong Zheng & Roderick Rejesus & Jose Yorobe, 2020. "Input use under cost‐of‐production crop insurance: Theory and evidence," Agricultural Economics, International Association of Agricultural Economists, vol. 51(3), pages 343-357, May.
    4. Stigler, Matthieu M. & Lobell, David, 2020. "Suitability of index insurance: new insights from satellite data," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304663, Agricultural and Applied Economics Association.
    5. Jorge Eduardo Camusso & Ana Inés Navarro, 2021. "Asymmetries in aggregate income risk over the business cycle: evidence from administrative data of Argentina," Asociación Argentina de Economía Política: Working Papers 4447, Asociación Argentina de Economía Política.
    6. Matthieu Stigler & David Lobell, 2020. "On the benefits of index insurance in US agriculture: a large-scale analysis using satellite data," Papers 2011.12544, arXiv.org, revised Nov 2021.
    7. Freire, Tiago & Rudkin, Simon, 2019. "Healthy food diversity and supermarket interventions: Evidence from the Seacroft Intervention Study," Food Policy, Elsevier, vol. 83(C), pages 125-138.
    8. Dasgupta, Susmita & Hossain, Md. Moqbul & Huq, Mainul & Wheeler, David, 2018. "Climate Change, Salinization and High-Yield Rice Production in Coastal Bangladesh," Agricultural and Resource Economics Review, Cambridge University Press, vol. 47(1), pages 66-89, April.
    9. Rudkin, Simon & Sharma, Abhijit, 2017. "The Impact of Football Attendance on Tourist Expenditures for the United Kingdom," MPRA Paper 81427, University Library of Munich, Germany.
    10. Wang, Wen & Lien, Donald, 2018. "Union membership, union coverage and wage dispersion of rural migrants: Evidence from Suzhou industrial sector," China Economic Review, Elsevier, vol. 49(C), pages 96-113.
    11. Montmartin, Benjamin & Herrera, Marcos & Massard, Nadine, 2018. "The impact of the French policy mix on business R&D: How geography matters," Research Policy, Elsevier, vol. 47(10), pages 2010-2027.
    12. 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.
    13. Seungjun Baek & Seongeun Kim & Tae-hwan Rhee & Wonmun Shin, 2023. "How effective are universal payments for raising consumption? Evidence from a natural experiment," Empirical Economics, Springer, vol. 65(5), pages 2181-2211, November.
    14. Fulvia Fringuellotti & João A. C. Santos, 2021. "Insurance Companies and the Growth of Corporate Loan Securitization," Liberty Street Economics 20211013, Federal Reserve Bank of New York.
    15. repec:hal:spmain:info:hdl:2441/7rrsl07p559bjr85tr7hsft1o9 is not listed on IDEAS
    16. Ousmane Traoré, 2020. "Economic Growth and Human Capital Accumulation across Countries: Evidence from WAEMU Region," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 26(2), pages 147-159, May.
    17. Almeida, Eloiza R.F. & Araújo, Veneziano & Gonçalves, Solange L., 2022. "Urban wage premium for women: evidence across the wage distribution," World Development, Elsevier, vol. 159(C).
    18. Damette, Olivier & Kouki, Imen, 2022. "Political influence and banking performance: Evidence from the African countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 200-207.
    19. Cepoi, Cosmin-Octavian & Anghel, Dan-Gabriel & Pop, Ionuţ Daniel, 2021. "Asymmetries and flight-to-safety effects in the price discovery process of cross-listed stocks," Economic Modelling, Elsevier, vol. 98(C), pages 302-318.
    20. James B. Keller & Tina L. Saitone, 2022. "Basis risk in the pasture, rangeland, and forage insurance program: Evidence from California," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1203-1223, August.
    21. Segundo Camino-Mogro & Mary Armijos & Paul Vera-Gilces, 2022. "High-growth firms and international trade: evidence from Ecuador," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 299-332, January.

    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:eee:jfpoli:v:101:y:2021:i:c:s0306919221000567. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/foodpol .

    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.