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Heterogeneity in Consumer Demands and the Income Effect: Evidence from Panel Data

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  • Mette Christensen

Abstract

All micro studies of demand are based on using time series cross sectional data. Because in such data each household is only observed once, it is only under strong identifying restrictions that one can interpret the coefficients on consumer behavior. For example, if tastes are correlated with income, the usual estimates of income elasticities from cross sectional data are biased. In contrast, panel data allows identification of the coefficients on consumer behavior in the presence of unobservable correlated heterogeneity. In this paper we make use of a unique Spanish panel data set on household expenditures to test whether unobservable heterogeneity in household demands (taste) is correlated with total expenditures (income). We find that tastes are indeed correlated with income for half of the goods considered.
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  • Mette Christensen, 2007. "Heterogeneity in Consumer Demands and the Income Effect: Evidence from Panel Data," Economics Discussion Paper Series 0714, Economics, The University of Manchester.
    • Handle: RePEc:man:sespap:0714
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    Cited by:

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    2. Stefan Hoderlein & Jörg Stoye, 2015. "Testing stochastic rationality and predicting stochastic demand: the case of two goods," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 3(2), pages 313-328, October.
    3. Hjertstrand, Per, 2020. "Income Elasticities Without Parameters," Working Paper Series 1324, Research Institute of Industrial Economics.
    4. Pablo del Río & Desiderio Romero & Marta Jorge & Mercedes Burguillo, 2012. "Territorial differences for transport fuel demand in Spain: an econometric study," Chapters, in: Larry Kreiser & Ana Yábar Sterling & Pedro Herrera & Janet E. Milne & Hope Ashiabor (ed.), Green Taxation and Environmental Sustainability, chapter 4, pages 56-68, Edward Elgar Publishing.

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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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