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The Effect of Expenditure Aggregation on Hypothesis Tests in Consumer Demand Systems

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  • Nicol, Christopher J

Abstract

In this paper, cluster analysis is used to identify "stochastic Hicksian aggregates." Such aggregates comprise goods for which relative prices are constant, up to a random element. The need to identify such aggregates arises since inappropriate aggregation of expenditures influences the outcome of hypothesis tests. Furthermore, cluster analysis appears to identify goods which can be treated as stochastic Hicksian aggregates. It would, thus, appear that these methods should be used to identify the appropriate goods to aggregate, prior to the estimation or testing of demand models. Copyright 1991 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.

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  • Nicol, Christopher J, 1991. "The Effect of Expenditure Aggregation on Hypothesis Tests in Consumer Demand Systems," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(2), pages 405-416, May.
    • Handle: RePEc:ier:iecrev:v:32:y:1991:i:2:p:405-16
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    Cited by:

    1. Dong, Fengxia & Fuller, Frank H., 2004. "Testing For Separability And Structural Change In Urban Chinese Food Demand," 2004 Annual meeting, August 1-4, Denver, CO 19923, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Hutasuhut, Maradoli & Chang, Hui-Shung & Griffith, Garry & O’Donnell, Chris & Doran, Howard, 2002. "The Demand for Beef in Indonesia: Implications for Australian Agribusiness," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 10, pages 1-10, August.
    3. Arabatzis, Garyfallos & Klonaris, Stathis, 2009. "An analysis of Greek wood and wood product imports: Evidence from the linear quadratic aids," Forest Policy and Economics, Elsevier, vol. 11(4), pages 266-270, July.
    4. Hutasuhut, Maradoli & O'Donnell, Christopher J. & Chang, Hui-Shung (Christie) & Griffith, Garry R. & Doran, Howard E., 2000. "The Demand for Meats in Indonesia: A Censored Regression Approach," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123666, Australian Agricultural and Resource Economics Society.
    5. Toshinobu Matsuda, 2007. "Linearizing the inverse quadratic almost ideal demand system," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 381-396.

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