Individual Versus Aggregate Income Elasticities For Heterogeneous Populations

This paper deals with different concepts of income elasticities of demand for a heterogenous population and the relationship between individual and aggregate elasticities is analyzed. In general, the aggregate elasticity is not equal to the mean of individual elasticities. The difference depends on the heterogeneity of the population and is quantified by a covariance term. Sign and magnitude of this term are determined by an empirical analysis based on the U.K. Family Expenditure Survey. It is shown that the relevant quantities can be identified from cross-section data and, without imposing restrictive structural assumptions, can be estimated by nonparametric techniques. It turns out that the aggregate elasticity significantly overestimates the mean of individual elasticities for many commodity groups.

[1]  Jeffrey S. Racine,et al.  Nonparametric Estimation of Conditional CDF and Quantile Functions With Mixed Categorical and Continuous Data , 2008 .

[2]  Enno Mammen,et al.  Identification of marginal effects in nonseparable models without monotonicity , 2007 .

[3]  M. Chakrabarty,et al.  On the Distributional Effects of Income in an Aggregate Consumption Relation , 2006 .

[4]  K. Bhattacharya,et al.  Modelling Aggregate Consumption Growth with Time-Varying Parameters , 2005 .

[5]  Jeffrey S. Racine,et al.  Cross-Validation and the Estimation of Conditional Probability Densities , 2004 .

[6]  Rosa L. Matzkin Nonparametric Estimation of Nonadditive Random Functions , 2003 .

[7]  M. C. Jones,et al.  Local Linear Quantile Regression , 1998 .

[8]  R. Koenker,et al.  The Gaussian hare and the Laplacian tortoise: computability of squared-error versus absolute-error estimators , 1997 .

[9]  Richard Blundell,et al.  Quadratic Engel Curves and Consumer Demand , 1997, Review of Economics and Statistics.

[10]  W. Hildenbrand,et al.  Metonymy and cross-section demand , 1997 .

[11]  R. Blundell,et al.  What Do We Learn About Consumer Demand Patterns from Micro Data , 1993 .

[12]  Arthur Lewbel,et al.  Aggregation with Log-Linear Models , 1992 .

[13]  W. Härdle,et al.  A Bootstrap Test for Positive Definiteness of Income Effect Matrices , 1992, Econometric Theory.

[14]  A. Lewbel,et al.  Nesting the AIDS and Translog Demand System , 1989 .

[15]  N. Mankiw,et al.  Permanent Income, Current Income, and Consumption , 1987 .

[16]  J. V. Ryzin,et al.  A class of smooth estimators for discrete distributions , 1981 .

[17]  James Davidson,et al.  Econometric Modelling of the Aggregate Time-Series Relationship Between Consumers' Expenditure and Income in the United Kingdom , 1978 .

[18]  J. Aitchison,et al.  Multivariate binary discrimination by the kernel method , 1976 .

[19]  J. B. Ramsey,et al.  Tests for Specification Errors in Classical Linear Least‐Squares Regression Analysis , 1969 .

[20]  H. Houthakker An International Comparison of Household Expenditure Patterns, Commemorating the Centenary of Engel's Law , 1957 .

[21]  G. Stigler The Early History of Empirical Studies of Consumer Behavior , 1954, Journal of Political Economy.

[22]  F. Wilcoxon Individual Comparisons by Ranking Methods , 1945 .

[23]  Arthur Lewbel Nesting the Aids and Translog Demand Systems , 2008 .

[24]  Werner Hildenbrand,et al.  Aggregate behavior and microdata , 2005, Games Econ. Behav..

[25]  Jeffrey S. Racine,et al.  CROSS-VALIDATED LOCAL LINEAR NONPARAMETRIC REGRESSION , 2004 .

[26]  Q. Lib,et al.  Nonparametric estimation of regression functions with both categorical and continuous data , 2004 .

[27]  Michael Jerison Demand Dispersion, Metonymy and Ideal Panel Data , 2001 .

[28]  W. Härdle,et al.  Empirical evidence on the law of demand , 1991 .

[29]  A. Lewbel,et al.  Income distribution movements and aggregate money illusion , 1990 .

[30]  Dale W. Jorgenson,et al.  The Transcendental Logarithmic Model of Aggregate Consumer Behavior , 1982 .

[31]  J. Muellbauer,et al.  Economics and consumer behavior , 1980 .

[32]  Population Censuses Surveys Office,et al.  Family Expenditure Survey Handbook , 1980 .