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Humps and bumps in lifetime consumption

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Author Info
Orazio Attanasio () (Institute for Fiscal Studies and University College London)
James Banks () (Institute for Fiscal Studies and University College London)
Costas Meghir () (Institute for Fiscal Studies and University College London)
Guglielmo Weber

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Abstract

There is much debate over whether the life-cycle model of consumption can explain consumption growth patterns patterns observed in household level data sources. We argue that once one departs from simple classroom example, or 'stripped down life-cycle model', the empirical model for consumption growth can be made flexible enough to fit the main features of the data. Using simulation techniques to assess the predictions of a life-cycle model estimated on US consumption data, we find that: * Allowing demographic variables to affect household preferences and relaxing assumptions about the effects of uncertainty can generate hump-shaped consumption profiles over age that are very similar to those observed in household level data sources, without appealing to alternative explanations such as liquidity constraints, myopia or mental accounting. * Humps in consumption paths are partly attributable to precautionary savings, and partly due to demographics; Bumps (or tracking - whereby consumption jumps with income) are instead due to the permanent nature of income shocks. * Neglecting the effects of uncertainty produces consumption profiles that are 'too flat', whereas neglecting the effects of demographics generates consumption profiles that peak 'too late'.

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Paper provided by Institute for Fiscal Studies in its series IFS Working Papers with number W95/14.

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Date of creation: Jan 1995
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Handle: RePEc:ifs:ifsewp:95/14

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. MaCurdy, Thomas E., 1982. "The use of time series processes to model the error structure of earnings in a longitudinal data analysis," Journal of Econometrics, Elsevier, vol. 18(1), pages 83-114, January. [Downloadable!] (restricted)
  2. Judd, Kenneth L., 1992. "Projection methods for solving aggregate growth models," Journal of Economic Theory, Elsevier, vol. 58(2), pages 410-452, December. [Downloadable!] (restricted)
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  3. Joseph G. Altonji & Aloysius Siow, 1986. "Testing the Response of Consumption to Income Changes with (Noisy) PanelData," NBER Working Papers 2012, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  4. Albert Marcet & Kenneth J. Singleton, 1990. "Equilibrium Asset Prices and Savings of Heterogeneous Agents in the Presence of Incomplete Markets and Portfolio Constraints," Economics Working Papers 319, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 1998. [Downloadable!]
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  5. Abowd, John M & Card, David, 1989. "On the Covariance Structure of Earnings and Hours Changes," Econometrica, Econometric Society, vol. 57(2), pages 411-45, March. [Downloadable!] (restricted)
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  6. Altug, Sumru & Miller, Robert A, 1990. "Household Choices in Equilibrium," Econometrica, Econometric Society, vol. 58(3), pages 543-70, May. [Downloadable!] (restricted)
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