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The Generalized Composite Commodity Theorem and Food Demand Estimation

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  • Albert J. Reed
  • J. William Levedahl
  • Charles Hallahan

Abstract

This article reports tests of aggregation over consumer food products and estimates of aggregate food demand elasticities. Evidence that food demand variables follow unit root processes leads us to build on and simplify existing tests of the Generalized Composite Commodity Theorem. We compute food demand elasticities using a method of cointegration that is shown to apply to a convenient but nonlinear functional form. Estimates are based on consumer reported expenditure data rather than commercial disappearance data. Copyright 2005, Oxford University Press.

Suggested Citation

  • Albert J. Reed & J. William Levedahl & Charles Hallahan, 2005. "The Generalized Composite Commodity Theorem and Food Demand Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 28-37.
    • Handle: RePEc:oup:ajagec:v:87:y:2005:i:1:p:28-37
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    File URL: http://hdl.handle.net/10.1111/j.0002-9092.2005.00699.x
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    1. Schroeter, Christiane & Lusk, Jayson & Tyner, Wallace, 2008. "Determining the impact of food price and income changes on body weight," Journal of Health Economics, Elsevier, vol. 27(1), pages 45-68, January.
    2. Leffler, Kristyn K. & Carpio, Carlos E. & Boonsaeng, Tullaya, 2012. "Temporal Aggregation and Treatment of Zero Dependent Variables in the Estimation of Food Demand using Cross-Sectional Data," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124913, Agricultural and Applied Economics Association.
    3. Jay Lillywhite & Paul Preckel & James Eales, 2008. "Maintaining parameter invariance in seemingly unrelated regressions estimation," Applied Economics Letters, Taylor & Francis Journals, vol. 15(5), pages 405-409.
    4. Schroeter, Christiane & Lusk, Jayson L. & Tyner, Wallace E., 2005. "Determining the Impact of Food Price and Income Changes on Obesity," 2005 Annual meeting, July 24-27, Providence, RI 19234, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Zhen Miao & John C. Beghin & Helen H. Jensen, 2013. "Accounting For Product Substitution In The Analysis Of Food Taxes Targeting Obesity," Health Economics, John Wiley & Sons, Ltd., vol. 22(11), pages 1318-1343, November.
    6. Li, Wenying & Zhen, Chen, 2017. "A Reassessment of Product Aggregation Bias in Demand Analysis: An Application to the U.S. Meat Market," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258197, Agricultural and Applied Economics Association.
    7. Okrent, Abigail M. & Alston, Julian M., 2011. "Demand for Food in the United States: A Review of Literature, Evaluation of Previous Estimates, and Presentation of New Estimates of Demand," Monographs, University of California, Davis, Giannini Foundation, number 251908, December.
    8. Boonsaeng, Tullaya & Carpio, Carlos E., 2017. "Budget Allocation Patterns of American Household across Income Level in the 21 Century," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258245, Agricultural and Applied Economics Association.
    9. Buttet, Sebastien & Dolar, Veronika, 2015. "The Price Of One Sweet Calorie," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 3(4), pages 1-14, October.
    10. Okrent, Abigail M. & Alston, Julian M., 2012. "The Demand for Disaggregated Food-Away-from-Home and Food-at-Home Products in the United States," Economic Research Report 132469, United States Department of Agriculture, Economic Research Service.
    11. Asche, Frank & Guttormsen, Atle G. & Kristofersson, Dadi & Roheim, Cathy A., 2005. "Import Demand Estimation and the Generalized Composite Commodity Theorem," 2005 Annual meeting, July 24-27, Providence, RI 19432, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Sato, Hideyasu, 2021. "Generalized Axiom of Revealed Preference Tests for Foods and Drinks: The Case of Using POS Data in Japan," 2021 ASAE 10th International Conference (Virtual), January 11-13, Beijing, China 329424, Asian Society of Agricultural Economists (ASAE).
    13. Sato, Hideyasu & 佐藤, 秀保, 2020. "Do Large-scale Point-of-sale Data Satisfy the Generalized Axiom of Revealed Preference in Aggregation Using Representative Price Indexes?: A Case Involving Processed Food and Beverages," RCESR Discussion Paper Series DP19-2, Research Center for Economic and Social Risks, Institute of Economic Research, Hitotsubashi University.
    14. Buttet, Sebastien & Dolar, Veronika, 2015. "Toward a quantitative theory of food consumption choices and body weight," Economics & Human Biology, Elsevier, vol. 17(C), pages 143-156.
    15. Smith Trenton G. & Stoddard Christiana & Barnes Michael G, 2009. "Why the Poor Get Fat: Weight Gain and Economic Insecurity," Forum for Health Economics & Policy, De Gruyter, vol. 12(2), pages 1-31, June.
    16. Okrent, Abigail M. & Kumcu, Aylin, 2016. "U.S. Households’ Demand for Convenience Foods," Economic Research Report 262195, United States Department of Agriculture, Economic Research Service.
    17. Huffman, Wallace E., 2011. "Household Production and the Demand for Food and Other Inputs: U.S. Evidence," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(3), pages 1-23, December.
    18. Kumcu, Aylin & Okrent, Abigail M ., 2014. "Methodology for the Quarterly Food-Away-From-Home Prices Data," Technical Bulletins 184292, United States Department of Agriculture, Economic Research Service.
    19. Kira Lancker & Julia Bronnmann, 2022. "Substitution Preferences for Fish in Senegal," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 1015-1045, August.
    20. Bo Zhao, 2021. "Opting in with the Joneses: What Affects the Timing of Municipal Adoption of a Local-option Meals Tax?," Working Papers 21-14, Federal Reserve Bank of Boston.
    21. 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.
    22. Catherine Durham & James Eales, 2010. "Demand elasticities for fresh fruit at the retail level," Applied Economics, Taylor & Francis Journals, vol. 42(11), pages 1345-1354.
    23. Lubna Naz & Munir Ahmad & G.M Arif, 2018. "Estimating Food Demand System and Rural Household Welfare: A Case study from Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 10(4), pages 55-82, December.
    24. Heng, Yan & House, Lisa, 2016. "A Composite Demand Analysis for the Beverage Market," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235704, Agricultural and Applied Economics Association.
    25. Manami Ogura, 2024. "Testing the aggregation of goods and services without separability using panel data," Empirical Economics, Springer, vol. 67(4), pages 1581-1613, October.

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