IDEAS home Printed from https://ideas.repec.org/a/eee/jfpoli/v119y2023ics0306919223001033.html
   My bibliography  Save this article

The crop insurance demand response to premium subsidies: Evidence from U.S. Agriculture

Author

Listed:
  • Tsiboe, Francis
  • Turner, Dylan

Abstract

Premium subsidies are a common policy tool to promote crop insurance participation in many countries. However, the relationship between subsidies and demand is not entirely obvious given the variation in the use of subsidies and crop insurance participation within the international crop insurance landscape. Focusing on the U.S. Federal Crop Insurance Program (FCIP) demand is modeled as a system of equations representing decisions at the intensive [coverage level] and extensive [net insured acres] margins. The model makes use of an identification strategy that leverages exogenous variation in government-set pricing policy to address potential sources of endogeneity. Applying the model to over one million insurance pool level FCIP observations spanning two decades (2001–2022) suggest an inelastic response at both extensive and intensive margins to changes in producer-paid premium rates with the response to premium rates becoming increasingly more elastic as subsidies decrease. These estimated elasticities are on the low end compared to previous literature, however, significant heterogeneity across commodity, production practices, policy type, and location are observed suggesting subsets of producers are likely to respond to changes in the cost of insurance in different ways.

Suggested Citation

  • Tsiboe, Francis & Turner, Dylan, 2023. "The crop insurance demand response to premium subsidies: Evidence from U.S. Agriculture," Food Policy, Elsevier, vol. 119(C).
  • Handle: RePEc:eee:jfpoli:v:119:y:2023:i:c:s0306919223001033
    DOI: 10.1016/j.foodpol.2023.102505
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306919223001033
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.foodpol.2023.102505?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. Richards, Timothy J., 2000. "A Two-Stage Model Of The Demand For Specialty Crop Insurance," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(1), pages 1-18, July.
    2. Thompson, Samuel B., 2011. "Simple formulas for standard errors that cluster by both firm and time," Journal of Financial Economics, Elsevier, vol. 99(1), pages 1-10, January.
    3. Robert Finger & Nadja El Benni, 2021. "Farm income in European agriculture: new perspectives on measurement and implications for policy evaluation," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(2), pages 253-265.
    4. 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.
    5. Jing Yi & Henry L. Bryant & James W. Richardson, 2020. "How do premium subsidies affect crop insurance demand at different coverage levels: the case of corn," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 5-28, January.
    6. Angrist, Joshua & Kolesár, Michal, 2024. "One instrument to rule them all: The bias and coverage of just-ID IV," Journal of Econometrics, Elsevier, vol. 240(2).
    7. Tsiboe, Francis & Turner, Dylan, 2023. "The crop insurance demand response to premium subsidies: Evidence from U.S. Agriculture," Food Policy, Elsevier, vol. 119(C).
    8. Lehmann, Niklaus & Finger, Robert & Klein, Tommy & Calanca, Pierluigi & Walter, Achim, 2013. "Adapting crop management practices to climate change: Modeling optimal solutions at the field scale," Agricultural Systems, Elsevier, vol. 117(C), pages 55-65.
    9. Edward D. Perry & Jisang Yu & Jesse Tack, 2020. "Using insurance data to quantify the multidimensional impacts of warming temperatures on yield risk," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    10. Sarah A Janzen & Michael R Carter, 2019. "After the Drought: The Impact of Microinsurance on Consumption Smoothing and Asset Protection," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(3), pages 651-671.
    11. Dylan Turner & Francis Tsiboe, 2022. "The crop insurance demand response to the Wildfire and Hurricane Indemnity Program Plus," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(3), pages 1273-1292, September.
    12. Eric J. Belasco & Kate Binzen Fuller, 2022. "Who buys crop insurance? Predictors of the participation gap between organic and conventional farms," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(3), pages 1554-1572, September.
    13. A. Belloni & D. Chen & V. Chernozhukov & C. Hansen, 2012. "Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain," Econometrica, Econometric Society, vol. 80(6), pages 2369-2429, November.
    14. Anton Bekkerman & Eric J Belasco & Vincent H Smith & Chris McIntoshEditor, 2019. "Does Farm Size Matter? Distribution of Crop Insurance Subsidies and Government Program Payments across U.S. Farms," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 41(3), pages 498-518.
    15. Tatyana Deryugina & Barrett Kirwan, 2018. "Does The Samaritan'S Dilemma Matter? Evidence From U.S. Agriculture," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 983-1006, April.
    16. 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.
    17. Bulut, Harun & Hennessy, David A., 2021. "Estimating Elasticities Via Market Share Impacts for Crop Insurance Coverage Options," 2021 Annual Meeting, August 1-3, Austin, Texas 312738, Agricultural and Applied Economics Association.
    18. Maisashvili, Aleksandre & Bryant, Henry L. & Jones, Jason P.H., 2020. "Implications of Alternative Crop Insurance Subsidies," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 52(2), pages 240-263, May.
    19. Shaik, Saleem & Coble, Keith H. & Knight, Thomas O. & Baquet, Alan E. & Patrick, George F., 2008. "Crop Revenue and Yield Insurance Demand: A Subjective Probability Approach," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(3), pages 757-766, December.
    20. Goodwin, Barry K. & Rejesus, Roderick M., 2008. "Safety Nets or Trampolines? Federal Crop Insurance, Disaster Assistance, and the Farm Bill," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(2), pages 1-15, August.
    21. John C. Chao & Norman R. Swanson, 2005. "Consistent Estimation with a Large Number of Weak Instruments," Econometrica, Econometric Society, vol. 73(5), pages 1673-1692, September.
    22. Meyer, Jack, 1987. "Two-moment Decision Models and Expected Utility Maximization," American Economic Review, American Economic Association, vol. 77(3), pages 421-430, June.
    23. Perry, Janet E. & Mishra, Ashok K., 1999. "Forward Contracting Of Inputs: A Farm-Level Analysis," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 17(2), pages 1-15.
    24. Chemeris, Anna & Liu, Yong & Ker, Alan P., 2022. "Insurance subsidies, climate change, and innovation: Implications for crop yield resiliency," Food Policy, Elsevier, vol. 108(C).
    25. Hansen, Christian & Hausman, Jerry & Newey, Whitney, 2008. "Estimation With Many Instrumental Variables," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 398-422.
    26. Vincent H. Smith & Joseph W. Glauber, 2012. "Agricultural Insurance in Developed Countries: Where Have We Been and Where Are We Going?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 34(3), pages 363-390.
    27. Belasco, Eric J., 2020. "WAEA Presidential Address: Moving Agricultural Policy Forward: Or, There and Back Again," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 45(3), September.
    28. Joshua D. Woodard & Jing Yi, 2020. "Estimation of Insurance Deductible Demand Under Endogenous Premium Rates," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(2), pages 477-500, June.
    29. Barnaby, G.A. & Russell, Levi A., 2016. "Crop Insurance Will Be at the Center of the 2019 Farm Bill Debate," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 31(3), pages 1-11, September.
    30. MacDonald, James M. & Perry, Janet E. & Ahearn, Mary Clare & Banker, David E. & Chambers, William & Dimitri, Carolyn & Key, Nigel D. & Nelson, Kenneth E. & Southard, Leland W., 2004. "Contracts, Markets, and Prices: Organizing the Production and Use of Agricultural Commodities," Agricultural Economic Reports 34013, United States Department of Agriculture, Economic Research Service.
    31. 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.
    32. Burns, Christopher B. & MacDonald, James M., 2018. "America’s Diverse Family Farms, 2018 Edition," Economic Information Bulletin 281176, United States Department of Agriculture, Economic Research Service.
    33. Bekker, Paul A, 1994. "Alternative Approximations to the Distributions of Instrumental Variable Estimators," Econometrica, Econometric Society, vol. 62(3), pages 657-681, May.
    34. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    35. Heimlich, Ralph E., 2000. "Farm Resource Regions," Agricultural Information Bulletins 33625, United States Department of Agriculture, Economic Research Service.
    36. Barry K. Goodwin, 1993. "An Empirical Analysis of the Demand for Multiple Peril Crop Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(2), pages 425-434.
    37. Anton Bekkerman & Eric J. Belasco & Vincent H. Smith, 2019. "Does Farm Size Matter? Distribution of Crop Insurance Subsidies and Government Program Payments across U.S. Farms," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(3), pages 498-518, September.
    38. Chao, John C. & Swanson, Norman R. & Hausman, Jerry A. & Newey, Whitney K. & Woutersen, Tiemen, 2012. "Asymptotic Distribution Of Jive In A Heteroskedastic Iv Regression With Many Instruments," Econometric Theory, Cambridge University Press, vol. 28(1), pages 42-86, February.
    39. Barry K. Goodwin & Vincent H. Smith, 2013. "What Harm Is Done By Subsidizing Crop Insurance?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 489-497.
    40. 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.
    41. Francis Annan & Wolfram Schlenker, 2015. "Federal Crop Insurance and the Disincentive to Adapt to Extreme Heat," American Economic Review, American Economic Association, vol. 105(5), pages 262-266, May.
    42. 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.
    43. Salvatore Di Falco & Felice Adinolfi & Martina Bozzola & Fabian Capitanio, 2014. "Crop Insurance as a Strategy for Adapting to Climate Change," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 485-504, June.
    44. Levy, H & Markowtiz, H M, 1979. "Approximating Expected Utility by a Function of Mean and Variance," American Economic Review, American Economic Association, vol. 69(3), pages 308-317, June.
    45. Vincent H. Smith & Joseph W. Glauber, 2012. "Agricultural Insurance in Developed Countries: Where Have We Been and Where Are We Going?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 34(3), pages 363-390.
    46. Jesse Tack & Keith Coble & Barry Barnett, 2018. "Warming temperatures will likely induce higher premium rates and government outlays for the U.S. crop insurance program," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 635-647, September.
    47. Vincent H. Smith & Alan E. Baquet, 1996. "The Demand for Multiple Peril Crop Insurance: Evidence from Montana Wheat Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 189-201.
    48. Jayson L. Lusk, 2017. "Distributional Effects of Crop Insurance Subsidies," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(1), pages 1-15.
    49. Congressional Budget Office, 2020. "Options for Reducing the Deficit: 2021 to 2030," Reports 56783, Congressional Budget Office.
    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. Tsiboe, Francis & Turner, Dylan, 2023. "The crop insurance demand response to premium subsidies: Evidence from U.S. Agriculture," Food Policy, Elsevier, vol. 119(C).

    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. Jesse Tack & Keith Coble & Barry Barnett, 2018. "Warming temperatures will likely induce higher premium rates and government outlays for the U.S. crop insurance program," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 635-647, September.
    2. Fabio G., Santeramo & Ilaria, Russo & Emilia, Lamonaca, 2022. "Italian subsidised crop insurance: what the role of policy changes," MPRA Paper 115299, University Library of Munich, Germany.
    3. Jisang Yu & Edward D. Perry, 2024. "Premium subsidies and selection in the federal crop insurance program," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 280-297, February.
    4. Michal Kolesár & Raj Chetty & John Friedman & Edward Glaeser & Guido W. Imbens, 2015. "Identification and Inference With Many Invalid Instruments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 474-484, October.
    5. Carrasco, Marine & Tchuente, Guy, 2015. "Regularized LIML for many instruments," Journal of Econometrics, Elsevier, vol. 186(2), pages 427-442.
    6. Woodard, Joshua, 2016. "Estimation of Insurance Deductible Demand under Endogenous Premium Rates," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236151, Agricultural and Applied Economics Association.
    7. Baoling Zou & Zanjie Ren & Ashok K. Mishra & Stefan Hirsch, 2022. "The role of agricultural insurance in boosting agricultural output: An aggregate analysis from Chinese provinces," Agribusiness, John Wiley & Sons, Ltd., vol. 38(4), pages 923-945, October.
    8. Eric Gautier & Christiern Rose, 2022. "Fast, Robust Inference for Linear Instrumental Variables Models using Self-Normalized Moments," Papers 2211.02249, arXiv.org, revised Nov 2022.
    9. O'Donoghue, Erik J., 2013. "The Demand for Crop Insurance: How Important are the Subsidies?," 2013 AAEA: Crop Insurance and the Farm Bill Symposium 157282, Agricultural and Applied Economics Association.
    10. Fabio G Santeramo, 2019. "I Learn, You Learn, We Gain Experience in Crop Insurance Markets," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(2), pages 284-304, June.
    11. Chemeris, Anna & Liu, Yong & Ker, Alan P., 2022. "Insurance subsidies, climate change, and innovation: Implications for crop yield resiliency," Food Policy, Elsevier, vol. 108(C).
    12. Anna Mikusheva & Liyang Sun, 2023. "Weak Identification with Many Instruments," Papers 2308.09535, arXiv.org, revised Jan 2024.
    13. Belasco, Eric J. & Smith, Vincent, 2022. "The impact of policy design on payment concentration in Ad-hoc disaster Relief: Lessons from the Market Facilitation and Coronavirus food Assistance programs," Food Policy, Elsevier, vol. 106(C).
    14. Belasco, Eric J., 2020. "WAEA Presidential Address: Moving Agricultural Policy Forward: Or, There and Back Again," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 45(3), September.
    15. Lim, Dennis & Wang, Wenjie & Zhang, Yichong, 2024. "A conditional linear combination test with many weak instruments," Journal of Econometrics, Elsevier, vol. 238(2).
    16. Yoonseok Lee & Yu Zhou, 2015. "Averaged Instrumental Variables Estimators," Center for Policy Research Working Papers 180, Center for Policy Research, Maxwell School, Syracuse University.
    17. Smith, Vincent, 2017. "The US Federal Crop Insurance Program: A Case Study in Rent-Seeking," Working Papers 06899, George Mason University, Mercatus Center.
    18. Sølvsten, Mikkel, 2020. "Robust estimation with many instruments," Journal of Econometrics, Elsevier, vol. 214(2), pages 495-512.
    19. O'Donoghue, Erik, 2014. "Crop Insurance Subsidies: How Important are They?," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169451, Agricultural and Applied Economics Association.
    20. Marco Rogna & Günter Schamel & Alex Weissensteiner, 2023. "Modelling the switch from hail insurance to antihail nets," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(1), pages 118-136, 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:119:y:2023:i:c:s0306919223001033. 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.