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A Quadratic Inverse Demand System

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  • Moro, Daniele
  • Sckokai, Paolo

Abstract

We derive a (quadratic) inverse demand system (IQUAIDS), that generalizes the (almost ideal) inverse demand system. We discuss how the assumptions of separability and concavity can be simultaneously accommodated within the model, thus giving a (locally) separable and concave quadratic demand system. An empirical application is provided for illustrative purposes.

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File URL: http://purl.umn.edu/21560
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Bibliographic Info

Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 1999 Annual meeting, August 8-11, Nashville, TN with number 21560.

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Date of creation: 1999
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Handle: RePEc:ags:aaea99:21560

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Keywords: Research Methods/ Statistical Methods;

References

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  1. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
  2. Blackorby, C. & Davidson, R. & Schworm, W., 1990. "Implicit Separability: Characterisation And Implications For Consumer Demands," G.R.E.Q.A.M. 90a16, Universite Aix-Marseille III.
  3. Moschini, GianCarlo, 1998. "Semiflexible Almost Ideal Demand System, The," Staff General Research Papers 1193, Iowa State University, Department of Economics.
  4. Moschini, GianCarlo & Vissa, A., 1992. "Linear Inverse Demand System, A," Staff General Research Papers 11250, Iowa State University, Department of Economics.
  5. Diewert, W. E. & Wales, T. J., 1988. "A normalized quadratic semiflexible functional form," Journal of Econometrics, Elsevier, vol. 37(3), pages 327-342, March.
  6. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1975. "Transcendental Logarithmic Utility Functions," American Economic Review, American Economic Association, vol. 65(3), pages 367-83, June.
  7. W. Erwin Diewert & T.J. Wales, 1989. "Flexible Functional Forms and Global Curvature Conditions," NBER Technical Working Papers 0040, National Bureau of Economic Research, Inc.
  8. Moschini, GianCarlo & Moro, D. & Green, Richard D., 1994. "Maintaining and Testing Separability in Demand Systems," Staff General Research Papers 11247, Iowa State University, Department of Economics.
  9. Moschini, GianCarlo & Vissa, Anuradha, 1992. "A Linear Inverse Demand System," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(02), December.
  10. Barnett, William A & Lee, Yul W, 1985. "The Global Properties of the Miniflex Laurent, Generalized Leontief, and Translog Flexible Functional Forms," Econometrica, Econometric Society, vol. 53(6), pages 1421-37, November.
  11. 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.
  12. H. Youn Kim, 1997. "Functional Separability and Elasticities of Complementarity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1177-1181.
  13. Eales, James S. & Unnevehr, Laurian J., 1994. "The inverse almost ideal demand system," European Economic Review, Elsevier, vol. 38(1), pages 101-115, January.
  14. Hicks, J. R., 1986. "A Revision of Demand Theory," OUP Catalogue, Oxford University Press, number 9780198285502, Octomber.
  15. Moschini, Giancarlo, 1998. "The semiflexible almost ideal demand system," European Economic Review, Elsevier, vol. 42(2), pages 349-364, February.
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Cited by:
  1. Schroeter, Christiane & Foster, Kenneth A., 2004. "The Impact Of Health Information And Demographic Changes On Aggregate Meat Demand," 2004 Annual meeting, August 1-4, Denver, CO 20130, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  2. Michele Baggio & Jean-Paul Chavas, 2006. "On the Consumer Value of Environmental Diversity," Working Papers 35, University of Verona, Department of Economics.

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