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Behavioral Heterogeneity and The Income Effect

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Author Info
Laurent E. Calvet
Etienne Comon

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Abstract

Inspired by the recent literature on aggregation theory, this paper introduces HITS, a semiparametric model of consumer demand that allows for diversity in tastes. The strong variation of budget shares observed aacross income strata can arise from two economic factors: the individual income effect, and taste differences between poor and rich households. Consumer expenditure surveys that report repeated cross-sections do not permit the direct measurement of these two effects, and the paper solves this difficulty by developing a new microeconometric framework. We model consumer demand by a class of Nearly Ideal Demand Systems parameterized by a unique taste parameter. Linear heterogeneity allows GMM estimation of the structural coefficients on an aggregate time series, and the joint density of spending and tastes is recovered from cross-sections by a nonparametric procedure involving a deconvolution. We develop an asymptotic theory and demonstrate the accuracy of the algoriithm by Monte Carlo and bootstsrap simulations. The model is estimated on four size groups using the British Family Expenditure Survey (1968-98). We report a strong correlation between income and tastes, which explains most of the observed varriation of budget shares with income. Unlike some earlier models, this new approach is consistent with both the yearly cross-sections of individual choices and the dynamics of aggregate shares.

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Paper provided by Harvard - Institute of Economic Research in its series Harvard Institute of Economic Research Working Papers with number 1892.

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Date of creation: 2000
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Handle: RePEc:fth:harver:1892

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  1. Mette Christensen, 2007. "Integrability of Demand Accounting for Unobservable Heterogeneity: A Test on Panel Data," The School of Economics Discussion Paper Series 0713, Economics, The University of Manchester. [Downloadable!]
  2. John Quah, 2006. "Weak axiomatic demand theory," Economic Theory, Springer, vol. 29(3), pages 677-699, November. [Downloadable!] (restricted)
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  3. Mette Christensen, 2007. "Integrability of demand accounting for unobservable heterogeneity: a test on panel data," IFS Working Papers W07/14, Institute for Fiscal Studies. [Downloadable!]
  4. Takashi Unayama, 2006. "The Engel curve for alcohol and the rank of demand systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1019-1038. [Downloadable!]
  5. Isabel Proenca, 2005. "A Simple Deconvolving Kernel Density Estimator when Noise is Gaussian," Econometrics 0508006, EconWPA. [Downloadable!]
  6. Panayiota Lyssiotou & Panos Pashardes & Thanasis Stengos, 2008. "Demographic versus expenditure flexibility in Engel curves," Empirical Economics, Springer, vol. 34(2), pages 257-271, March. [Downloadable!] (restricted)
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