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The influence of weather extremes on the spatial correlation of corn yields

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  • Jesse Tack
  • Matthew Holt

Abstract

Annual production shocks at the farm-level are driven by year-to-year weather variability. While identifying drivers of these shocks is important and well-researched, little attention has been paid to the extent to which these shocks aggregate up to the regional or national level. Here, we provide a method for simultaneously modeling the mean, variance, and spatial correlation of crop yields in the presence of evolving technology. Our approach allows one to condition spatial correlations on variables of interest—such as weather—in a straightforward manner. An application to state-level Iowa and Illinois corn yields provides evidence that spatial correlations roughly double in both good and bad weather years relative to normal years. Furthermore, we consider several functional forms for conditioning spatial correlations on weather and find that less flexible relationships generate misleading results as they vastly underestimate the degree of correlation in bad weather years. These findings have important implications for the climate change, food price volatility, crop insurance, and yield modeling literatures. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • Jesse Tack & Matthew Holt, 2016. "The influence of weather extremes on the spatial correlation of corn yields," Climatic Change, Springer, vol. 134(1), pages 299-309, January.
    • Handle: RePEc:spr:climat:v:134:y:2016:i:1:p:299-309
    DOI: 10.1007/s10584-015-1538-4
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    1. Richard E. Just & Quinn Weninger, 1999. "Are Crop Yields Normally Distributed?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(2), pages 287-304.
    2. Anthony C. Fisher & W. Michael Hanemann & Michael J. Roberts & Wolfram Schlenker, 2012. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather: Comment," American Economic Review, American Economic Association, vol. 102(7), pages 3749-3760, December.
    3. James P. Houck, 1966. "A Look at Flexibilities and Elasticities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 48(2), pages 225-232.
    4. Steven T. Berry & Michael J. Roberts & Wolfram Schlenker, 2012. "Corn Production Shocks in 2012 and Beyond: Implications for Food Price Volatility," NBER Working Papers 18659, National Bureau of Economic Research, Inc.
    5. Chua, Hans & Tomek, William, 2010. "On the Relationship of Expected Supply and Demand to Futures Prices," Staff Papers 189188, Cornell University, Department of Applied Economics and Management.
    6. Wallace E. Huffman & Robert E. Evenson, 2006. "Do Formula or Competitive Grant Funds Have Greater Impacts on State Agricultural Productivity?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 783-798.
    7. Olivier Deschênes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
    8. Michael J. Roberts & Wolfram Schlenker, 2013. "Identifying Supply and Demand Elasticities of Agricultural Commodities: Implications for the US Ethanol Mandate," American Economic Review, American Economic Association, vol. 103(6), pages 2265-2295, October.
    9. Marc F. Bellemare & Christopher B. Barrett & David R. Just, 2013. "The Welfare Impacts of Commodity Price Volatility: Evidence from Rural Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(4), pages 877-899.
    10. 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.
    11. Xavier Villavicencio & Bruce McCarl & Ximing Wu & Wallace Huffman, 2013. "Climate change influences on agricultural research productivity," Climatic Change, Springer, vol. 119(3), pages 815-824, August.
    12. Tian Yu & Bruce A. Babcock, 2010. "Are U.S. Corn and Soybeans Becoming More Drought Tolerant?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1310-1323.
    13. 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.
    14. Wolfram Schlenker & Michael J. Roberts, 2006. "Nonlinear Effects of Weather on Corn Yields ," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(3), pages 391-398.
    15. James P. Houck, 1966. "A Look at Flexibilities and Elasticities: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 48(4_Part_I), pages 1022-1023.
    16. Barry K. Goodwin, 2001. "Problems with Market Insurance in Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 643-649.
    17. 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.
    18. Allan W. Gray & James W. Richardson & Jackie McClaskey, 1995. "Farm-Level Impacts of Revenue Assurance," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 17(2), pages 171-183.
    19. Kevin E. Trenberth & Aiguo Dai & Gerard van der Schrier & Philip D. Jones & Jonathan Barichivich & Keith R. Briffa & Justin Sheffield, 2014. "Global warming and changes in drought," Nature Climate Change, Nature, vol. 4(1), pages 17-22, January.
    20. 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.
    21. 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.
    22. Evenson, Robert E., 2001. "Economic impacts of agricultural research and extension," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 11, pages 573-628, Elsevier.
    23. Sonia I. Seneviratne & Markus G. Donat & Brigitte Mueller & Lisa V. Alexander, 2014. "No pause in the increase of hot temperature extremes," Nature Climate Change, Nature, vol. 4(3), pages 161-163, March.
    24. 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.
    25. Conley, T. G., 1999. "GMM estimation with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 92(1), pages 1-45, September.
    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.
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    Cited by:

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    2. Suh, Dong Hee, 2017. "A Spatial Analysis on Corn Production: Implication for Ethanol Sustainability," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258198, Agricultural and Applied Economics Association.
    3. 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.
    4. Magdalena Cornejo & Nicolás Merener & Ezequiel Merovich, 2024. "Extreme Dry Spells and Larger Storms in the U.S. Midwest Raise Crop Prices," Working Papers 303, Red Nacional de Investigadores en Economía (RedNIE).
    5. 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.

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