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Cross section Engel curves over time

Author

Listed:
  • HARDLE, W.
  • JERISON, M.
Abstract
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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Hardle, W. & Jerison, M., 1990. "Cross section Engel curves over time," LIDAM Discussion Papers CORE 1990016, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvco:1990016
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    Cited by:

    1. Richard Blundell & Xiaohong Chen & Dennis Kristensen, 2003. "Nonparametric IV estimation of shape-invariant Engel curves," CeMMAP working papers CWP15/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Mette Christensen, 2007. "Integrability of demand accounting for unobservable heterogeneity: a test on panel data," IFS Working Papers W07/14, Institute for Fiscal Studies.
    3. Song, Ze & Li, Lianyou & Ma, Chao, 2013. "The EASI Demand System : Evidence from China Household," MPRA Paper 48435, University Library of Munich, Germany.
    4. Stephan B. Bruns & Alessio Moneta, 2017. "Intertemporal propensity to consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 295-314, April.
    5. Gong, X. & van Soest, A.H.O. & Zhang, P., 2000. "Sexual Bias and Household Consumption : A Semiparametic Analysis of Engel curves in Rural China," Other publications TiSEM 896cf4d1-37e5-490b-9e05-4, Tilburg University, School of Economics and Management.
    6. Arthur Lewbel, 2003. "A rational rank four demand system," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 127-135.
    7. Gaurav Nayyar, 2009. "The Demand for Services in India. A Mirror Image of Engel's Law for Food?," Economics Series Working Papers 451, University of Oxford, Department of Economics.
    8. Giorgio Fagiolo, 2001. "Engel Curves Specification in an Artificial Model of Consumption Dynamics with Socially Evolving Preferences," LEM Papers Series 2001/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Chai Andreas & Moneta Alessio, 2014. "Escaping Satiation Dynamics: Some Evidence from British Household Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(2-3), pages 299-327, April.
    10. Chakrabarty, Manisha & Hildenbrand, Werner, 2011. "Engel's Law Reconsidered," Journal of Mathematical Economics, Elsevier, vol. 47(3), pages 289-299.
    11. Gozalo, Pedro L., 1997. "Nonparametric bootstrap analysis with applications to demographic effects in demand functions," Journal of Econometrics, Elsevier, vol. 81(2), pages 357-393, December.
    12. Laurens Cherchye & Bram De Rock & Frederic Vermeulen, 2023. "Nonparametric Models in Consumer Behaviour," Working Papers ECARES 2023-04, ULB -- Universite Libre de Bruxelles.
    13. Menggen Chen, 2022. "Engel’s law in China: Some new evidence," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1640-1662, August.
    14. Cordes, Christian, 2009. "Changing your role models: Social learning and the Engel curve," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(6), pages 957-965, December.

    More about this item

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General

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