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On the Estimation of Supply and Demand Elasticities of Agricultural Commodites

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  • Santeramo, Fabio Gaetano

Abstract

The report provides a literature review on the topic of estimation of demand and supply elasticities. To this end, it starts the discussion by summarizing the main facets of production theory and consumer theory to introduce the concept of elasticities, with examples of different types of elasticities most utilized in the literature. Next, it discusses the identification problem in estimating elasticities, i.e. the issue of having to solve for unique values of the parameters of the structural model from the values of the parameters of the reduced form of the model. It summarizes various methodologies employed in the literature to solve this problem and gives practical examples. These solutions include, but are not limited to, using instrumental variables, adopting a recursive structure, holding demand constant, and imposing inequality constraints in order to restrict the domain of estimates.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 56126.

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Date of creation: 01 May 2014
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Handle: RePEc:pra:mprapa:56126

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Keywords: Elasticity; demand; supply; identification; production theory; consumer theory;

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  1. Joshua Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," NBER Working Papers 8456, National Bureau of Economic Research, Inc.
  2. repec:wyi:wpaper:001990 is not listed on IDEAS
  3. Moschini, GianCarlo, 1995. "Units of Measurement and the 'Stone Index' In Demand System Estimation," Staff General Research Papers 5058, Iowa State University, Department of Economics.
  4. Russo, Carlo & Green, Richard D. & Howitt, Richard E., 2008. "Estimation Of Supply And Demand Elasticities Of California Commodities," Working Papers 37629, University of California, Davis, Department of Agricultural and Resource Economics.
  5. M. Renuka & K. P. Kalirajan, 2002. "How IncomeElastic Is The Consumers Demand For Services In Singapore?," International Economic Journal, Taylor & Francis Journals, vol. 16(1), pages 95-104.
  6. Okumura, Tsunao, 2011. "Nonparametric Estimation of Labor Supply and Demand Factors," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 174-185.
  7. Brian W. Gould, 2003. "An Empirical Assessment of Endogeneity Issues in Demand Analysis for Differentiated Products," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(3), pages 605-617.
  8. Jeffrey T. LaFrance & Rulon D. Pope, 2010. "Duality Theory for Variable Costs in Joint Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(3), pages 755-762.
  9. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
  10. Moschini, Giancarlo, 1998. "The semiflexible almost ideal demand system," European Economic Review, Elsevier, vol. 42(2), pages 349-364, February.
  11. Sherwin Rosen & Kevin M. Murphy & Jose A. Scheinkman, 1993. "Cattle Cycles," NBER Working Papers 4403, National Bureau of Economic Research, Inc.
  12. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680.
  13. Barten, A. P., 1969. "Maximum likelihood estimation of a complete system of demand equations," European Economic Review, Elsevier, vol. 1(1), pages 7-73.
  14. 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 257-92, June.
  15. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June.
  16. Colman, David R., 1983. "A Review of the Arts of Supply Response Analysis," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 51(03), December.
  17. Berkowitz, Daniel & Caner, Mehmet & Fang, Ying, 2012. "The validity of instruments revisited," Journal of Econometrics, Elsevier, vol. 166(2), pages 255-266.
  18. Roberto Rigobon, 2003. "Identification Through Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 777-792, November.
  19. 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.
  20. Ryan, David L & Wales, Terence J, 1998. "A Simple Method for Imposing Local Curvature in Some Flexible Consumer-Demand Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 331-38, July.
  21. Moschini, GianCarlo, 1998. "Semiflexible Almost Ideal Demand System, The," Staff General Research Papers 1193, Iowa State University, Department of Economics.
  22. Jarvis, Lovell S, 1974. "Cattle as Capital Goods and Ranchers as Portfolio Managers: An Application to the Argentine Cattle Sector," Journal of Political Economy, University of Chicago Press, vol. 82(3), pages 489-520, May/June.
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