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Warming temperatures will likely induce higher premium rates and government outlays for the U.S. crop insurance program

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  • Jesse Tack
  • Keith Coble
  • Barry Barnett

Abstract

Likely climate change impacts include damages to agricultural production resulting from increased exposure to extreme heat. Considerable uncertainty remains regarding impacts on crop insurance programs. We utilize a panel of U.S. corn yield data to predict the effect of warming temperatures on the mean and variance of yields, as well as crop insurance premium rates and producer subsidies. While we focus on corn, we demonstrate that the subsidy impacts are likely to carry over to other major program crops. We find that warming decreases mean yields and increases yield risk on average, which results in higher premium rates. Under a 1°C warming scenario, we find that premium rates at the 90% coverage level will increase by 39% on average; however, there is considerable statistical uncertainty around this average as the 95% confidence interval spans from 22% to 61%. We also find evidence of extensive cross‐sectional differences as the county‐level rate impacts range from a 10% reduction to a 63% increase. Results indicate that exposure to extreme heat and changes in the coefficient of variation are large drivers of the impacts. Under the 1°C warming scenario, we find that annual subsidy payments for the crop insurance program could increase by as much as $1.5 billion, representing a 22% increase relative to current levels. This estimate increases to 3.7 billion (57%) under a 2°C warming scenario. Our results correspond to a very specific counterfactual: the marginal effect of warming temperatures under current technology, production, and crop insurance enrollments. These impacts are shown to be smaller than the forecasted impacts under a commonly used end‐of‐century general circulation model for even the most optimistic CO2 emissions projection.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:agecon:v:49:y:2018:i:5:p:635-647
    DOI: 10.1111/agec.12448
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    1. 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.
    2. Joshua D. Woodard & Bruce J. Sherrick, 2011. "Estimation of Mixture Models using Cross-Validation Optimization: Implications for Crop Yield Distribution Modeling," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(4), pages 968-982.
    3. Robert S. Pindyck, 2011. "Fat Tails, Thin Tails, and Climate Change Policy," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(2), pages 258-274, Summer.
    4. 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.
    5. Olivier Mahul & Charles J. Stutley, 2010. "Government Support to Agricultural Insurance : Challenges and Options for Developing Countries," World Bank Publications - Books, The World Bank Group, number 2432.
    6. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    7. Daniel Urban & Michael Roberts & Wolfram Schlenker & David Lobell, 2012. "Projected temperature changes indicate significant increase in interannual variability of U.S. maize yields," Climatic Change, Springer, vol. 112(2), pages 525-533, May.
    8. 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.
    9. Jesse B. Tack & Matthew T. Holt, 2016. "The influence of weather extremes on the spatial correlation of corn yields," Climatic Change, Springer, vol. 134(1), pages 299-309, January.
    10. Jesse Tack & David Ubilava, 2013. "The effect of El Niño Southern Oscillation on U.S. corn production and downside risk," Climatic Change, Springer, vol. 121(4), pages 689-700, December.
    11. Martin L. Weitzman, 2011. "Fat-Tailed Uncertainty in the Economics of Catastrophic Climate Change," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(2), pages 275-292, Summer.
    12. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    13. William D. Nordhaus, 2011. "The Economics of Tail Events with an Application to Climate Change," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(2), pages 240-257, Summer.
    14. Jesse B. Tack & David Ubilava, 2015. "Climate and agricultural risk: measuring the effect of ENSO on U.S. crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 46(2), pages 245-257, March.
    15. 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.
    16. Keith H. Coble & Barry J. Barnett, 2013. "Why Do We Subsidize Crop Insurance?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 498-504.
    17. john M. Antle, 2010. "Asymmetry, Partial Moments, and Production Risk," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1294-1309.
    18. Woodard, Joshua D., 2016. "Crop Insurance Demand More Elastic than Previously Thought," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 31(3), pages 1-7.
    19. Keith H. Coble & Thomas O. Knight & Rulon D. Pope & Jeffery R. Williams, 1997. "An Expected-Indemnity Approach to the Measurement of Moral Hazard in Crop Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 216-226.
    20. Jesse Tack & Ardian Harri & Keith Coble, 2012. "More than Mean Effects: Modeling the Effect of Climate on the Higher Order Moments of Crop Yields," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(5), pages 1037-1054.
    21. Jerry R. Skees & Jason Hartell & Anne G. Murphy, 2007. "Using Index-Based Risk Transfer Products to Facilitate Micro Lending in Peru and Vietnam," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(5), pages 1255-1261.
    22. 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.
    23. Joseph C. Cooper, 2010. "Average Crop Revenue Election: A Revenue-Based Alternative to Price-Based Commodity Payment Programs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 1214-1228.
    24. 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.
    25. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
    26. 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.
    27. Chi‐Chung Chen & Ching‐Cheng Chang, 2005. "The impact of weather on crop yield distribution in Taiwan: some new evidence from panel data models and implications for crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 33(s3), pages 503-511, November.
    28. Miguel A. Carriquiry & Daniel E. Osgood, 2012. "Index Insurance, Probabilistic Climate Forecasts, and Production," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(1), pages 287-300, March.
    29. Thomas O. Knight & Keith H. Coble, 1997. "Survey of U.S. Multiple Peril Crop Insurance Literature Since 1980," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 19(1), pages 128-156.
    30. Witsanu Attavanich & Bruce McCarl, 2014. "How is CO 2 affecting yields and technological progress? A statistical analysis," Climatic Change, Springer, vol. 124(4), pages 747-762, June.
    31. 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.
    32. Michael J. Roberts & Wolfram Schlenker & Jonathan Eyer, 2013. "Agronomic Weather Measures in Econometric Models of Crop Yield with Implications for Climate Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 236-243.
    33. Barnett, Barry J. & Black, J. Roy & Hu, Yingyao & Skees, Jerry R., 2005. "Is Area Yield Insurance Competitive with Farm Yield Insurance?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(2), pages 1-17, August.
    34. Tor N. Tolhurst & Alan P. Ker, 2015. "On Technological Change in Crop Yields," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(1), pages 137-158.
    35. Ardian Harri & Keith H. Coble & Alan P. Ker & Barry J. Goodwin, 2011. "Relaxing Heteroscedasticity Assumptions in Area-Yield Crop Insurance Rating," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 703-713.
    36. Barry J. Barnett & Jerry R. Skees, 1995. "Region and Crop Specific Models of the Demand for Federal Crop Insurance," Journal of Insurance Issues, Western Risk and Insurance Association, vol. 18(2), pages 47-65.
    37. Tolhurst, Tor N. & Ker, Alan P., 2017. "The Fingerprint of Climate on 65 Years of Increasing and Asymmetric Crop Yield Volatility in the Corn Belt," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259189, Agricultural and Applied Economics Association.
    38. Antle, John M, 1983. "Testing the Stochastic Structure of Production: A Flexible Moment-based Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(3), pages 192-201, July.
    39. 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.
    40. Rejesus, Roderick M. & Coble, Keith H. & Miller, Mary France & Boyles, Ryan & Goodwin, Barry K & Knight, Thomas O., 2015. "Accounting for Weather Probabilities in Crop Insurance Rating," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 40(2), pages 1-19, May.
    41. Dismukes, Robert & Arriola, Christine & Coble, Keith H., 2010. "ACRE Program Payments and Risk Reduction: An Analysis Based on Simulations of Crop Revenue Variability," Economic Research Report 262248, United States Department of Agriculture, Economic Research Service.
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