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

Author

Listed:
  • Reed, Albert J.
  • Levedahl, J. William
  • Clark, J. Stephen

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

Suggested Citation

  • Reed, Albert J. & Levedahl, J. William & Clark, J. Stephen, 2003. "Commercial Disappearance and Composite Demand for Food with an Application to U.S. Meats," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(01), pages 1-18, April.
  • Handle: RePEc:ags:jlaare:30719
    DOI: 10.22004/ag.econ.30719
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    References listed on IDEAS

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    1. Laitinen, Kenneth, 1978. "Why is demand homogeneity so often rejected?," Economics Letters, Elsevier, vol. 1(3), pages 187-191.
    2. James A. Chalfant & Richard S. Gray & Kenneth J. White, 1991. "Evaluating Prior Beliefs in a Demand System: The Case of Meat Demand in Canada," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 476-490.
    3. Giancarlo Moschini & Daniele Moro & Richard D. Green, 1994. "Maintaining and Testing Separability in Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(1), pages 61-73.
    4. 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.
    5. Lewbel, Arthur, 1996. "Aggregation without Separability: A Generalized Composite Commodity Theorem," American Economic Review, American Economic Association, vol. 86(3), pages 524-543, June.
    6. Ronald Bewley & Trevor Young, 1987. "Applying Theil's Multinomial Extension of the Linear Logit Model to Meat Expenditure Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(1), pages 151-157.
    7. Frank Asche & Helge Bremnes & Cathy R. Wessells, 1999. "Product Aggregation, Market Integration, and Relationships between Prices: An Application to World Salmon Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 568-581.
    8. 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 351-363, June.
    9. 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).
    10. H. Theil, 1952. "Qualities, Prices and Budget Enquiries," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 19(3), pages 129-147.
    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 153-156, February.
    12. MacKinnon, James G., 1995. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Queen's Economics Department Working Papers 273322, Queen's University - Department of Economics.
    13. White, Kenneth J, 1978. "A General Computer Program for Econometric Methods-Shazam," Econometrica, Econometric Society, vol. 46(1), pages 239-240, January.
    14. 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.
    15. Park, J.Y. & Ogaki, M., 1991. "Seemingly Unrelated Canonical Cointegrating Regressions," RCER Working Papers 280, University of Rochester - Center for Economic Research (RCER).
    16. 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.
    17. 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(2), pages 1-10, December.
    18. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    19. 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.
    20. Chinloy, Peter T, 1980. "Sources of Quality Change in Labor Input," American Economic Review, American Economic Association, vol. 70(1), pages 108-119, March.
    21. Berndt, Ernst R & Savin, N Eugene, 1975. "Estimation and Hypothesis Testing in Singular Equation Systems with Autoregressive Disturbances," Econometrica, Econometric Society, vol. 43(5-6), pages 937-957, Sept.-Nov.
    22. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, January.
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    5. Lee L. Schulz & Ted C. Schroeder & Tian Xia, 2012. "Studying composite demand using scanner data: the case of ground beef in the US," Agricultural Economics, International Association of Agricultural Economists, vol. 43, pages 49-57, November.
    6. Reed, Albert J. & Levedahl, J. William & Hallahan, Charles B., 2004. "The Generalized Composite Commodity Theorem And Food Demand Estimation," 2004 Annual meeting, August 1-4, Denver, CO 20107, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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