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Commercial Disappearance and Composite Demand for Food with an Application to U.S. Meats

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  • Reed, Albert J.
  • Levedahl, J. William
  • Clark, J. Stephen
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    Abstract

    When elementary prices move strictly proportionately, aggregation over a group of diverse products is valid, and group demand responses can be decomposed into quality and quantity responses. This study shows that when relative elementary prices and group prices are stochastically independent, a similar decomposition is valid. Empirical results suggest consumers respond to changes in prices and income mostly by altering the quality of meat products. These findings imply that using commercial disappearance as a proxy for food demand can be misleading for policy analysis. Key words: commodity aggregation, Composite Commodity Theorem, composite demand, Generalized Composite Commodity Theorem, quantity-quality decomposition

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    Bibliographic Info

    Article provided by Western Agricultural Economics Association in its journal Journal of Agricultural and Resource Economics.

    Volume (Year): 28 (2003)
    Issue (Month): 01 (April)
    Pages:

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    Handle: RePEc:ags:jlaare:30719

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    Related research

    Keywords: commodity aggregation; Composite Commodity Theorem; composite demand; Generalized Composite Commodity Theorem; quantity-quality decomposition; Demand and Price Analysis;

    References

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    1. Lin, Ni & Davis, George C. & Shumway, C. Richard, 1998. "Aggregation Without Separability: Tests Of U.S. And Mexican Agricultural Production Data," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20927, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Jean Kinsey & Ben Senauer, 1996. "Consumer Trends and Changing Food Retailing Formats," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(5), pages 1187-1191.
    3. Lewbel, Arthur, 1996. "Aggregation without Separability: A Generalized Composite Commodity Theorem," American Economic Review, American Economic Association, vol. 86(3), pages 524-43, June.
    4. Cramer, J S, 1973. "Interaction of Income and Price in Consumer Demand," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(2), pages 351-63, June.
    5. Park, J.Y. & Ogaki, M., 1991. "Seemingly Unrelated Canonical Cointegrating Regressions," RCER Working Papers 280, University of Rochester - Center for Economic Research (RCER).
    6. Reed, Albert J. & Elitzak, Howard & Wohlgenant, Michael K., 2002. "Retail-Farm Price Margins And Consumer Product Diversity," Technical Bulletins 33573, United States Department of Agriculture, Economic Research Service.
    7. James G. MacKinnon, 1995. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Working Papers 918, Queen's University, Department of Economics.
    8. Asche, F. & Bremnes, H. & Wessells, C.R., 1998. "Product Aggregation, Market Integration and Relationships Between Prices: an Application to World Salmon Markets," Papers 27/98, Norwegian School of Economics and Business Administration-.
    9. Eales, James S. & Hyde, Jeffrey & Schrader, Lee F., 1998. "A Note On Dealing With Poultry In Demand Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(02), December.
    10. Shon P. Williams & C. Richard Shumway, 2000. "Trade Liberalization and Agricultural Chemical Use: United States and Mexico," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(1), pages 183-199.
    11. Nelson, Julie A, 1990. "Quantity Aggregation in Consumer Demand Analysis When Physical Quantities Are Observed," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 153-56, February.
    12. 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.
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    Cited by:
    1. Irz, Xavier T., 2009. "Modelling physical quantities of food and nutrients consumed from aggregate data – with an application to Finland," 2009 Conference, August 16-22, 2009, Beijing, China 50324, International Association of Agricultural Economists.

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