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Cross section Engel Curves over Time

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  • Wolfgang HÄRDLE

    (CORE)

  • Michael JERISON

    (Department of Economics, SUNY)

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.

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Bibliographic Info

Paper provided by Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES) in its series Discussion Papers (REL - Recherches Economiques de Louvain) with number 1991045.

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Length: 41
Date of creation: 01 Dec 1991
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Handle: RePEc:ctl:louvre:1991045

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Cited by:
  1. Song, Ze & Li, Lianyou & Ma, Chao, 2013. "The EASI Demand System : Evidence from China Household," MPRA Paper 48435, University Library of Munich, Germany.
  2. Arthur Lewbel, 2003. "A rational rank four demand system," Journal of Applied Econometrics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 18(2), pages 127-135.
  3. Alois Kneip & Werner Hildenbrand, 1994. "Aggregate Consumer's Expenditure and Income," Discussion Paper Serie A, University of Bonn, Germany 456, University of Bonn, Germany.
  4. Gong, Xiaodong & van Soest, Arthur & Zhang, Ping, 2000. "Sexual Bias and Household Consumption: A Semiparametric Analysis of Engel Curves in Rural China," IZA Discussion Papers 212, Institute for the Study of Labor (IZA).
  5. Chakrabarty, Manisha & Hildenbrand, Werner, 2011. "Engel's Law Reconsidered," Journal of Mathematical Economics, Elsevier, vol. 47(3), pages 289-299.
  6. Mette Christensen, 2007. "Integrability of Demand Accounting for Unobservable Heterogeneity: A Test on Panel Data," The School of Economics Discussion Paper Series, Economics, The University of Manchester 0713, Economics, The University of Manchester.
  7. Gaurav Nayyar, 2009. "The Demand for Services in India. A Mirror Image of Engel's Law for Food?," Economics Series Working Papers, University of Oxford, Department of Economics 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, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy 2001/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  9. 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, Elsevier, vol. 38(6), pages 957-965, December.
  10. Gozalo, Pedro L., 1997. "Nonparametric bootstrap analysis with applications to demographic effects in demand functions," Journal of Econometrics, Elsevier, Elsevier, vol. 81(2), pages 357-393, December.
  11. Andreas Chai & Alessio Moneta, 2014. "Escaping Satiation Dynamics: Some Evidence from British Household Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 234(2-3), pages 299-327, April.
  12. Richard Blundell & Xiaohong Chen & Dennis Kristensen, 2003. "Nonparametric IV estimation of shape-invariant Engel curves," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies CWP15/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

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