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Age effects on consumer demand: an additive partially linear regression model

Author

Listed:
  • Panayiota Lyssiotou
  • Panos Pashardes
  • Thanasis Stengos

Abstract

An additive partially linear regression model is used to estimate non-parametrically the effects of total expenditure and age in the context of Engel curves and to investigate the specification and welfare interpretation of the age effects in parametric models of consumer behaviour. Empirical analysis based on data drawn from the U.K. Family Expenditure Survey shows that modelling of the effects of age requires a more sophisticated approach than that generally adopted in parametric demand analysis. It also shows that failing to adequately capture these effects can have misleading welfare implications.

Suggested Citation

  • Panayiota Lyssiotou & Panos Pashardes & Thanasis Stengos, 2002. "Age effects on consumer demand: an additive partially linear regression model," Canadian Journal of Economics, Canadian Economics Association, vol. 35(1), pages 153-165, February.
    • Handle: RePEc:cje:issued:v:35:y:2002:i:1:p:153-165
    DOI: 10.1111/1540-5982.00125
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    Citations

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    Cited by:

    1. Panayiota Lyssiotou, 2003. "On estimating the cost of characteristics indices from consumer demand analysis," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(2), pages 326-349, May.
    2. Panos Pashardes & Soteroula Hajispyrou, 2002. "Consumer Demand and Welfare under Increasing Block Pricing," University of Cyprus Working Papers in Economics 0207, University of Cyprus Department of Economics.
    3. Alan T. K. Wan & Jinhong You & Riquan Zhang, 2016. "A Seemingly Unrelated Nonparametric Additive Model with Autoregressive Errors," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 894-928, May.
    4. Panos Hatzipanayotou & Sajal Lahiri & Michael S. Michael, 2002. "Reforms of Environmental Policies in the Presence of Cross-border Pollution and two Stage Clean Up," University of Cyprus Working Papers in Economics 0203, University of Cyprus Department of Economics.
    5. Jorge Barrientos Marin, 2006. "Estimation And Testing An Additive Partially Linear Model In A System Of Engel Curves," Working Papers. Serie AD 2006-23, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    6. Michael Haliassos, 2003. "Stockholding: Recent Lessons from Theory and Computations," Palgrave Macmillan Books, in: Luigi Guiso & Michael Haliassos & Tullio Jappelli (ed.), Stockholding in Europe, chapter 2, pages 30-49, Palgrave Macmillan.
    7. Daniel J. Henderson & Christopher F. Parmeter, 2015. "Single-Step Estimation of a Partially Linear Model," Working Papers 2015-01, University of Miami, Department of Economics.
    8. Jorge Barrientos-Marin & Efraín Arango Sánchez, 2019. "La curva de Engel de los hogares en Medellín, Colombia 2012-2015," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 38(68), pages 185-212, July.
    9. Panayiota Lyssiotou & Panos Pashardes & Thanasis Stengos, 2008. "Demographic versus expenditure flexibility in Engel curves," Empirical Economics, Springer, vol. 34(2), pages 257-271, March.

    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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