IDEAS home Printed from https://ideas.repec.org/p/ags/aaea25/361176.html

Is there any Supply Response from Pasture, Rangeland, Forage – Rainfall Index Insurance?

Author

Listed:
  • Khusru, Amir
  • Tronstad, Russell
  • Aradhyula, Satheesh

Abstract

The primary goal of this research is to determine whether Pasture Rangeland Forage – Rainfall Index (PRF-RI) insurance has any effect on our food supply in the form of influencing county level beef cow inventories in the United States. For all other crop insurance products, except those tied to just price insurance, premiums and indemnity claims are tied to prior and or current production. However, PRF-RI is different in the sense that it has very little to do with actual yield/production, prices, or revenues and indemnities are driven by rainfall received. PRF-RI was introduced in the United States in 2007 in a few states, and by 2016 it was available for all 48 contiguous states. We analyze county-level percentage age changes in beef cow inventories as our dependent variable and consider independent variables such as; average Palmer Drought Severity Index (PDSI) for the April-October grazing season, cumulative grazing season degree days (>34°C), cumulative grazing season county-level precipitation, Log of the US beef cow and state level hay price ratio, and county-level subsidies and indemnities provided by PRF-RI. Our time period spans from 2002 to 2023. We estimated county, county-time, and just county fixed effect models plus cyclical time trend variables. Our climate variables of average grazing season PDSI, cumulative grazing season degree days, precipitation, and quadratic term of precipitation all align with prior literature on being positive, negative, positive, and negative, respectively. The Log of the beef and hay price ratio has a positive and significant effect on annual county level beef cow inventories. Our estimated results indicate that neither subsidy, indemnities, nor the availability of PRF-RI have a statistically significant impact on beef cow inventories at the mean. In addition, PRF-RI may be causing more variation in beef cow inventories rather than less. PRF-RI subsides have grown from $151.2 million in 2016 to $805.8 million in 2025 with $6.9 billion in liabilities and taxpayers have not been getting anything back in return in the form of a more stable or reliable food supply.

Suggested Citation

  • Khusru, Amir & Tronstad, Russell & Aradhyula, Satheesh, 2025. "Is there any Supply Response from Pasture, Rangeland, Forage – Rainfall Index Insurance?," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO 361176, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea25:361176
    DOI: 10.22004/ag.econ.361176
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/361176/files/95625_108347_105300_Khusru-AAEA-2025-PRF-RI.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.361176?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. Barry K. Goodwin, 2015. "Challenges in the design of crop revenue insurance," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 75(1), pages 19-30, May.
    2. Guillermo N. Murray-Tortarolo & Víctor J. Jaramillo, 2019. "The impact of extreme weather events on livestock populations: the case of the 2011 drought in Mexico," Climatic Change, Springer, vol. 153(1), pages 79-89, March.
    3. Barry J. Barnett & Olivier Mahul, 2007. "Weather Index Insurance for Agriculture and Rural Areas in Lower-Income Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(5), pages 1241-1247.
    4. Azzam, Azzeddine & Walters, Cory & Kaus, Taylor, 2021. "Does subsidized crop insurance affect farm industry structure? Lessons from the U.S," Journal of Policy Modeling, Elsevier, vol. 43(6), pages 1167-1180.
    5. Patalee, M.A. Buddhika & Tonsor, Glynn T., 2021. "Impact of weather on cow-calf industry locations and production in the United States," Agricultural Systems, Elsevier, vol. 193(C).
    6. Daniel Stein, 2018. "Dynamics of Demand for Rainfall Index Insurance: Evidence from a Commercial Product in India," The World Bank Economic Review, World Bank, vol. 32(3), pages 692-708.
    7. Barry K. Goodwin, 2015. "Challenges in the design of crop revenue insurance," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 75(1), pages 19-30, May.
    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. 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.
    2. Qingxia Wang & Yim Soksophors & Angelica Barlis & Shahbaz Mushtaq & Khieng Phanna & Cornelis Swaans & Danny Rodulfo, 2022. "Willingness to Pay for Weather-Indexed Insurance: Evidence from Cambodian Rice Farmers," Sustainability, MDPI, vol. 14(21), pages 1-17, November.
    3. Mogge, Lukas, 2023. "A District-Level Analysis of the Effect of Risk Exposure on the Demand for Index Insurance in Mongolia," Ruhr Economic Papers 1018, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Fluhrer, Svenja, 2023. "Crowding-in or crowding-out: The effect of humanitarian aid on households’ investments in climate adaptation," MPRA Paper 117975, University Library of Munich, Germany.
    5. Stoeffler, Quentin & Opuz, Gülce, 2022. "Price, information and product quality: Explaining index insurance demand in Burkina Faso," Food Policy, Elsevier, vol. 108(C).
    6. Mogge, Lukas & Kraehnert, Kati, 2025. "Perception and protection: The effect of risk exposure on demand for index insurance in Mongolia," Journal of Environmental Economics and Management, Elsevier, vol. 130(C).
    7. Shaikh M. S. U. Eskander & Sam Fankhauser, 2022. "Income Diversification and Income Inequality: Household Responses to the 2013 Floods in Pakistan," Sustainability, MDPI, vol. 14(1), pages 1-12, January.
    8. Wreford, Anita & Topp, Cairistiona F.E., 2020. "Impacts of climate change on livestock and possible adaptations: A case study of the United Kingdom," Agricultural Systems, Elsevier, vol. 178(C).
    9. Yifeng Xie & Haitao Wu & Ruikuan Yao, 2023. "The Impact of Climate Change on the Urban–Rural Income Gap in China," Agriculture, MDPI, vol. 13(9), pages 1-17, August.
    10. William M. Fonta & Safietou Sanfo & Abbi M. Kedir & Djiby R. Thiam, 2018. "Estimating farmers’ willingness to pay for weather index-based crop insurance uptake in West Africa: Insight from a pilot initiative in Southwestern Burkina Faso," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-20, December.
    11. Emily Injete Amondo & Emmanuel Nshakira-Rukundo & Alisher Mirzabaev, 2023. "The effect of extreme weather events on child nutrition and health," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 15(3), pages 571-596, June.
    12. Barnett, Barry J. & Barrett, Christopher B. & Skees, Jerry R., 2008. "Poverty Traps and Index-Based Risk Transfer Products," World Development, Elsevier, vol. 36(10), pages 1766-1785, October.
    13. Ashimwe, Olive, "undated". "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.
    14. Nordmeyer, Eike Florenz & Danne, Michael & Musshoff, Oliver, 2023. "Can satellite-retrieved data increase farmers' willingness to insure against drought? – Insights from Germany," Agricultural Systems, Elsevier, vol. 211(C).
    15. Haoyu Jin & Xiaohong Chen & Ruida Zhong & Yingjie Pan & Tongtiegang Zhao & Zhiyong Liu & Xinjun Tu, 2022. "Spatiotemporal distribution analysis of extreme precipitation in the Huaihe River Basin based on continuity," 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. 114(3), pages 3627-3656, December.
    16. Yang Dean, 2008. "Coping with Disaster: The Impact of Hurricanes on International Financial Flows, 1970-2002," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 8(1), pages 1-45, June.
    17. Tran, Thi Xuyen, 2021. "Typhoon and Agricultural Production Portfolio -Empirical Evidence for a Developing Economy," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242411, Verein für Socialpolitik / German Economic Association.
    18. Ayako Matsuda & Takashi Kurosaki, 2017. "Temperature and Rainfall Index Insurance in India," OSIPP Discussion Paper 17E002, Osaka School of International Public Policy, Osaka University.
    19. Ella Kirchner & Oliver Musshoff, 2024. "Digital opportunities for the distribution of index‐based microinsurance: Evidence from a discrete choice experiment in Mali," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(2), pages 794-815, June.
    20. Takahashi, Kazushi & Noritomo, Yuma & Ikegami, Munenobu & Jensen, Nathaniel D., 2020. "Understanding pastoralists’ dynamic insurance uptake decisions: Evidence from four-year panel data in Ethiopia," Food Policy, Elsevier, vol. 95(C).

    More about this item

    Keywords

    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:aaea25:361176. 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.