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Producer Expectations and the Extensive Margin in Grain Supply Response

Published online by Cambridge University Press:  15 September 2016

David Boussios  and
Andrew Barkley
David Boussios*
Affiliation:
Department of Agricultural Economics at Purdue University
Andrew Barkley
Affiliation:
Department of Agricultural Economics at Kansas State University
*
Correspondence: David Boussios ▪ Department of Agricultural Economics ▪ Purdue University ▪ 403 West State Street ▪ Lafayette, IN 47907 ▪ Phone +1.765.494.4191 ▪ Email[email protected].
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Abstract

Grain supply is the joint effect of both area and yield; however, research often targets either one or the other. The research presented here estimates the complete supply elasticity of grains using novel approaches to approximate producers’ price and weather expectations on both yield and acres planted. The results from this approach combining acreage and yield show the negative impact of expanded production on average yields and the supply response. Additionally, the research extends previous methods of approximating producers’ price expectations through the use of historical basis prices.

Keywords

cornextensive marginproducer expectationssorghumsoybeanssupply elasticitysupply responsewheat
Type
Research Article
Information
Agricultural and Resource Economics Review , Volume 43 , Issue 3 , December 2014 , pp. 335 - 356
Copyright
Copyright © 2014 Northeastern Agricultural and Resource Economics Association 

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References

Bureau of Labor Statistics. 2011. “Producer Price Index: Commodities, Not Seasonally Adjusted.” U.S. Department of Labor, Washington, DC. Available at www.bls.gov/ppi (accessed July 19, 2011).Google Scholar
Chavas, J-P., and Holt, M.T. 1990. “Acreage Decisions under Risk: The Case of Corn and Soybeans.” American Journal of Agricultural Economics 72(3): 529–538.Google Scholar
Chavas, J-P., Pope, R.D., and Kao, R.S. 1983. “An Analysis of the Role of Futures Prices, Cash Prices, and Government Programs in Acreage Response.” Western Journal of Agricultural Economics 8(1): 27–33.Google Scholar
Chicago Board of Trade. 2011. “Monthly Average Futures Closing Prices, 1970-2010.” Chicago, IL. Google Scholar
Choi, J-S., and Helmberger, P.G. 1993. “How Sensitive Are Crop Yields to Price Changes and Farm Programs?” Journal of Agriculture and Applied Economics 25(1): 237–244.Google Scholar
Economic Research Service. 2011. “Data Sets, Average U.S. Farm Prices of Selected Fertilizers, 1960-2011.” ERS, U.S. Department of Agriculture, Washington, DC. Available at www.ers.usda.gov/Data/FertilizerUse (accessed July 2011).Google Scholar
Gardner, B. 1976. “Future Prices in Supply Analysis.” American Journal of Agricultural Economics 58(1): 81–84.Google Scholar
Hardie, I.W., and Parks, P.J. 1997. “Land Use with Hetergeneous Land Quality.” American Journal of Agricultural Economics 79(2): 299–310.Google Scholar
Hendricks, N.P. 2011. “The Dynamics of Spatial Heterogeneity of Crop Acreage Response to Price: Problems of Aggregation and Pooling.” Dissertation, University of California, Davis. Google Scholar
Houck, J.P., and Gallagher, P.W. 1976. “The Price Responsiveness of U.S. Corn Yields.” American Journal of Agricultural Economics 58(4): 731–734.Google Scholar
Huang, H., and Khanna, M. 2010. “An Econometric Analysis of U.S. Crop Yield and Cropland Acreage: Implications for the Impact of Climate Change.” Paper presented at the Agricultural and Applied Economics Association 2010 joint annual meeting, Denver, CO.Google Scholar
Just, R.E. 2000. “Some Guiding Principles for Empirical Production Research in Agriculture.” Agricultural and Resource Economics Review 29(2): 138–158.Google Scholar
Just, R.E., and Weninger, Q. 1999. “Are Crop Yields Normally Distributed?” American Journal of Agricultural Economics 81(2): 287–304.Google Scholar
Kansas City Board of Trade. 2011. Wheat Futures. Kansas City, MO.Google Scholar
Kansas State Ag Manager. 2011. “AgManager.info Decision Tools” web page. www.agmanager.info/Tools/default.asp (accessed June 18, 2011).Google Scholar
Kansas State Research and Extension. 2011. “Kansas County Precipitation Summaries.” www.ksre.ksu.edu/wdl/precipdata.htm (accessed February 26, 2011).Google Scholar
Kansas State University Agricultural Experiment Station and Cooperative Extension Service. 1997a. Soybean Production Handbook. Manhattan, KS: Kansas State University.Google Scholar
Fales, S.L., McMurry, S.A., and McSweeny, W.T. 1997b. Wheat Production Handbook. Manhattan, KS: Kansas State University.Google Scholar
Fales, S.L., McMurry, S.A., and McSweeny, W.T. 1998. Sorghum Production Handbook. Manhattan, KS: Kansas State University.Google Scholar
Fales, S.L., McMurry, S.A., and McSweeny, W.T. 2007. Corn Production Handbook. Manhattan, KS: Kansas State University.Google Scholar
Kaufmann, R.K., and Snell, S.E. 1997. “A Biophysical Model of Corn Yield: Integrating Climatic and Soil Determinants.” American Journal of Agricultural Economics 79(1): 178–190.Google Scholar
Lichtenberg, E. 1989. “Land Quality, Irrigation Development, and Cropping Patterns in the Northern High Plains.” American Journal of Agricultural Economics 71(1): 187–194.Google Scholar
Lin, W., and Dismukes, R. 2007. “Supply Response under Risk: Implications for Counter-cyclical Payments’ Production Impact.” Review of Agricultural Economics 29(1): 64–86.Google Scholar
McCarl, B.A., Villavicencio, X., and Wu, X. 2008. “Climate Change and Future Analysis: Is Stationarity Dying?” American Journal of Agricultural Economics 90(5): 1241–1247.Google Scholar
McDonald, J.D., and Sumner, D.A. 2003. “The Influence of Commodity Programs on Acreage Response to Market Price with an Illustration Concerning Rice Policy in the United States.” American Journal of Agricultural Economics 85(4): 857–871.Google Scholar
Menz, K.M., and Pardey, P. 1983. “Technology and U.S. Corn Yields: Plateaus and Price Responsiveness.” American Journal of Agricultural Economics 65(3): 558–562.Google Scholar
Miller, D.J., and Plantinga, A.J. 1999. “Modeling Land Use Decisions with Aggregated Data.” American Journal of Agricultural Economics 81(1): 180–194.Google Scholar
Morzuch, B.J., Weaver, R.D., and Helmberger, P.G. 1980. “Wheat Acreage Supply Response under Changing Farm Programs.” American Journal of Agricultural Economics 62(1): 29–37.Google Scholar
National Agricultural Statistics Service. 2011. “Data and Statistics” web page. NASS, U.S. Department of Agriculture, Washington, DC. www.nass.usda.gov/Data_and_Statistics/Quick_Stats/index.asp (accessed March 2011).Google Scholar
National Climatic Data Center. 2011. “NNDC Climate Data Online” web page. NCDC, National Oceanic and Atmospheric Administration, www.ncdc.noaa.gov/oa/ncdc.html (accessed April 20, 2011).Google Scholar
Nelson, W.L., and Dale, R.F. 1978. “Effect of Trend on Technology Variables and Record Period Prediction of Corn Yields with Weather Variables.” Journal of Applied Meteorology 17: 926–933.Google Scholar
Nerlove, M. 1956. “Estimates of the Elasticities of Supply of Selected Agricultural Commodities.” Journal of Farm Economics 38(2): 496–509.Google Scholar
Nerlove, M., and Addison, W. 1958. “Statistical Estimation of Long-run Elasticities of Supply and Demand.” Journal of Farm Economics 40(4): 861–880.Google Scholar
Orazem, P.F., and Miranowski, J.A. 1994. “A Dynamic Model of Acreage Allocation with General and Crop-specific Soil Capital.” American Journal of Agricultural Economics 76(3): 385–395.Google Scholar
Pope, R.D., and Just, R.E. 2003. “Distinguishing Errors in Measurement from Errors in Optimization.” American Journal of Agricultural Economics 85(2): 348–358.Google Scholar
Schlenker, W., and Roberts, M. 2006. “Nonlinear Effects of Weather on Corn Yields.” Review of Agricultural Economcs 28(3): 391–398.Google Scholar
Schlenker, W., Hanemann, M., and Fisher, A.C. 2004. “The Impact of Global Warming on U.S. Agriculture: An Econometric Analysis of Optimal Growing Conditions.” Working paper 1003, Department of Agricultural And Resource Economics, University of California, Berkeley.Google Scholar
Thompson, L.M. 1975. “Weather Variability, Climatic Change, and Grain Production.” Science, New Series 188(4188): 535–541.Google Scholar
U.S. Department of Agriculture. 2008. Kansas Farm Facts. Washington, DC: Kansas Field Office, National Agricultural Statistics Service, USDA. Available at www.nass.usda.gov/Statistics_by_State/Kansas/Publications/Annual_Statistical_Bulletin/ff2008.pdf.Google Scholar
Wright, B.D. 2011. “The Economics of Grain Price Volatility.” Applied Economic Perspectives and Policy 33(1): 32–58.Google Scholar