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Identifying Supply and Demand Elasticities of Agricultural Commodities: Implications for the US Ethanol Mandate

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  • Michael J. Roberts
  • Wolfram Schlenker

Abstract

We present a new framework to identify demand and supply elasticities of agricultural commodities using yield shocks - deviations from a time trend of output per area, which are predominantly caused by weather fluctuations. Demand is identified using current-period shocks that give rise to exogenous shifts in supply. Supply is identified using past shocks, which affect expected future prices through inventory accretion or depletion. We use our estimated elasticities to evaluate the impact of ethanol subsidies and mandates on world food commodity prices, quantities, and food consumers' surplus. The current US ethanol mandate requires that about 5 percent of world caloric production from corn, wheat, rice, and soybeans be used for ethanol generation. As a result, world food prices are predicted to increase by about 30 percent and global consumer surplus from food consumption is predicted to decrease by 155 billion dollars annually. If a third of the biofuel calories are recycled as feed stock for livestock, the predicted price increase scales back to 20 percent. While commodity demand is extremely inelastic, price response is muted by a significant supply response that is obscured if futures prices are not instrumented. The resulting expansion of agricultural growing area potentially offsets the CO2 emission benefits from biofuels.

Suggested Citation

  • Michael J. Roberts & Wolfram Schlenker, 2010. "Identifying Supply and Demand Elasticities of Agricultural Commodities: Implications for the US Ethanol Mandate," NBER Working Papers 15921, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:15921
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    1. Kanlaya J. Barr & Bruce A. Babcock & Miguel A. Carriquiry & Andre M. Nassar & Leila Harfuch, 2011. "Agricultural Land Elasticities in the United States and Brazil," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(3), pages 449-462.
    2. Michael J. Roberts & Nigel Key & Erik O'Donoghue, 2006. "Estimating the Extent of Moral Hazard in Crop Insurance Using Administrative Data," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(3), pages 381-390.
    3. José A. Scheinkman & Jack Schechtman, 1983. "A Simple Competitive Model with Production and Storage," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(3), pages 427-441.
    4. Searchinger, Timothy & Heimlich, Ralph & Houghton, R. A. & Dong, Fengxia & Elobeid, Amani & Fabiosa, Jacinto F. & Tokgoz, Simla & Hayes, Dermot J. & Yu, Hun-Hsiang, 2008. "Use of U.S. Croplands for Biofuels Increases Greenhouse Gases Through Emissions from Land-Use Change," Staff General Research Papers Archive 12881, Iowa State University, Department of Economics.
    5. Lucille Williamson & Paul Williamson, 1942. "What We Eat," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 24(3), pages 698-703.
    6. Nelson, Charles R & Startz, Richard, 1990. "Some Further Results on the Exact Small Sample Properties of the Instrumental Variable Estimator," Econometrica, Econometric Society, vol. 58(4), pages 967-976, July.
    7. Eugenio S. A. Bobenrieth H. & Juan R. A. Bobenrieth H. & Brian D. Wright, 2002. "A Commodity Price Process with a Unique Continuous Invariant Distribution Having Infinite Mean," Econometrica, Econometric Society, vol. 70(3), pages 1213-1219, May.
    8. Askari, Hossein & Cummings, John Thomas, 1977. "Estimating Agricultural Supply Response with the Nerlove Model: A Survey," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 257-292, June.
    9. Edward Miguel & Shanker Satyanath & Ernest Sergenti, 2004. "Economic Shocks and Civil Conflict: An Instrumental Variables Approach," Journal of Political Economy, University of Chicago Press, vol. 112(4), pages 725-753, August.
    10. Shanjun Li & Christopher Timmins & Roger H. von Haefen, 2009. "How Do Gasoline Prices Affect Fleet Fuel Economy?," American Economic Journal: Economic Policy, American Economic Association, vol. 1(2), pages 113-137, August.
    11. Stephen P. Holland & Jonathan E. Hughes & Christopher R. Knittel, 2009. "Greenhouse Gas Reductions under Low Carbon Fuel Standards?," American Economic Journal: Economic Policy, American Economic Association, vol. 1(1), pages 106-146, February.
    12. Michael J. Roberts & Wolfram Schlenker, 2009. "World Supply and Demand of Food Commodity Calories," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1235-1242.
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    More about this item

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

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