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Cross Section Engel Curves over Time

Published online by Cambridge University Press:  17 August 2016

Wolfgang Härdle  and
Michael Jerison
Wolfgang Härdle
Affiliation:
CORE
Michael Jerison
Affiliation:
Department of Economics, SUNY
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Summary

Methods for nonparametric estimation and comparison of cross section Engel curves are presented and applied to U.K. expenditure data. Real Engel curves (with quantity demanded and real total expenditure on the axes) vary over time, but their shapes are generally quite stable. Mean normalized Engel curves are defined and are found not to vary greatly over time. Consequences of such invariance for the testing of microeconomic demand models are investigated.

Résumé

Résumé

Cet article présente des méthodes d'estimation non-paramétrique et de comparaison en coupe de courbes d'Engel et les applique à des données de dépenses au Royaume-Uni. Les courbes d'Engel réelles (avec quantité demandée et dépense totale réelle le long des axes) varient dans le temps mais leurs formes sont généralement stables. Les courbes d'Engel moyennes normalisées sont ensuite définies. Il est montré qu'elles varient peu dans le temps et les conséquences de cette invariance quant à l'estimation de modèles micro-économiques de demande sont étudiées.

Keywords

D10D10
Type
Research Article
Information
Recherches Économiques de Louvain/ Louvain Economic Review , Volume 57 , Issue 4 , 1991 , pp. 391 - 431
Copyright
Copyright © Université catholique de Louvain, Institut de recherches économiques et sociales 1991 

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Footnotes

*

This paper was written at the University of Bonn. We would like to express our gratitude to the Deutsche Forschungsgemeinschaft, SFB 303 for financial support. We are also grateful for numerous discussions with Kurt Hildenbrand, Werner Hildenbrand, Heinz-Peter Schmitz and Tom Stoker. We thank Angus Deaton, Arthur Lewbel and three anonymous referees for comments on earlier versions of the paper/The data were made available by the ESRC Data Archive at the University of Essex.

References

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