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Futures Prices in Supply Analysis Reconsidered

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  • Hendricks, Nathan P.
  • Janzen, Joseph P.
  • Smith, Aaron

Abstract

Are futures prices exogenous to agricultural supply? It depends. We argue that crop yield shocks were predictable during the 1961-2007 period because high planting-time futures prices tended to indicate that yield would be below trend. This feature of the data implies that regressions of production on futures prices would underestimate the supply elasticity, i.e., endogeneity in the futures price biases the regression coefficient down. However, this predictability has only a small effect on planted acreage. Thus, estimating supply models with regressions of planted acreage on futures prices entails a small endogeneity bias. Moreover, this small bias is mitigated by adding the realized yield shock as a control variable to such a model as a proxy for the expected yield shock. The marginal contribution of an instrumental variable to bias reduction is thus small.

Suggested Citation

  • Hendricks, Nathan P. & Janzen, Joseph P. & Smith, Aaron, 2013. "Futures Prices in Supply Analysis Reconsidered," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150696, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea13:150696
    DOI: 10.22004/ag.econ.150696
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    References listed on IDEAS

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    1. Douglas J. Miller & Andrew J. Plantinga, 1999. "Modeling Land Use Decisions with Aggregate Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 180-194.
    2. Miranowski, John & Orazem, Peter, 1994. "A Dynamic Model of Acreage Allocation with General and Crop-Specific Capital," Staff General Research Papers Archive 10695, Iowa State University, Department of Economics.
    3. Holt, Matthew T., 1999. "A Linear Approximate Acreage Allocation Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(2), pages 1-15, December.
    4. JunJie Wu & Richard M. Adams & Catherine L. Kling & Katsuya Tanaka, 2004. "From Microlevel Decisions to Landscape Changes: An Assessment of Agricultural Conservation Policies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 26-41.
    5. Ruben N. Lubowski & Andrew J. Plantinga & Robert N. Stavins, 2008. "What Drives Land-Use Change in the United States? A National Analysis of Landowner Decisions," Land Economics, University of Wisconsin Press, vol. 84(4), pages 529-550.
    6. Barry K. Goodwin & Monte L. Vandeveer & John L. Deal, 2004. "An Empirical Analysis of Acreage Effects of Participation in the Federal Crop Insurance Program," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1058-1077.
    7. Ian W. Hardie & Peter J. Parks, 1997. "Land Use with Heterogeneous Land Quality: An Application of an Area Base Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 299-310.
    8. Catherine Hausman, 2012. "Biofuels and Land Use Change: Sugarcane and Soybean Acreage Response in Brazil," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(2), pages 163-187, February.
    9. JunJie Wu & Kathleen Segerson, 1995. "The Impact of Policies and Land Characteristics on Potential Groundwater Pollution in Wisconsin," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 1033-1047.
    10. Nathan P. Hendricks & Aaron Smith & Daniel A. Sumner, 2014. "Crop Supply Dynamics and the Illusion of Partial Adjustment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(5), pages 1469-1491.
    11. Choi, Jung-Sup & Helmberger, Peter G., 1993. "Acreage Response, Expected Price Functions, And Endogenous Price Expectations," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(1), pages 1-10, July.
    12. Miller, Douglas & Plantinga, Andrew J., 1999. "Modeling Land Use Decisions with Aggregate Data," Staff General Research Papers Archive 1487, Iowa State University, Department of Economics.
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    1. Hendricks, Nathan P. & Sinnathamby, Sumathy & Douglas-Mankin, Kyle & Smith, Aaron & Sumner, Daniel A. & Earnhart, Dietrich H., 2014. "The environmental effects of crop price increases: Nitrogen losses in the U.S. Corn Belt," Journal of Environmental Economics and Management, Elsevier, vol. 68(3), pages 507-526.

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