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Cross section Engel curves over time

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  • HÄRDLE, Wolfgang
  • JERISON, Michael

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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Paper provided by Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) in its series CORE Discussion Papers RP with number -991.

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Handle: RePEc:cor:louvrp:-991

Note: In : Recherches Economiques de Louvain, 57(4), 391-431, 1991
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Cited by:
  1. 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.
  2. Chakrabarty, Manisha & Hildenbrand, Werner, 2011. "Engel's Law Reconsidered," Journal of Mathematical Economics, Elsevier, vol. 47(3), pages 289-299.
  3. 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.
  4. 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.
  5. 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.
  6. Gong, X. & Soest, A.H.O. van & Zhang, P., 2000. "Sexual Bias and Household Consumption: A Semiparametic Analysis of Engel curves in Rural China," Discussion Paper, Tilburg University, Center for Economic Research 2000-45, Tilburg University, Center for Economic Research.
  7. Mette Christensen, 2007. "Integrability of demand accounting for unobservable heterogeneity: a test on panel data," IFS Working Papers, Institute for Fiscal Studies W07/14, Institute for Fiscal Studies.
  8. Alois Kneip & Werner Hildenbrand, 1994. "Aggregate Consumer's Expenditure and Income," Discussion Paper Serie A 456, University of Bonn, Germany.
  9. Song, Ze & Li, Lianyou & Ma, Chao, 2013. "The EASI Demand System : Evidence from China Household," MPRA Paper 48435, University Library of Munich, Germany.
  10. 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.
  11. 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.
  12. 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.

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