This paper shows that standard empirical methods for estimating log-linearized" consumption Euler equations cannot successfully uncover structural parameters like the" coefficient of relative risk aversion from the dataset of simulated consumers behaving exactly" according to the standard model. Furthermore, consumption growth for the simulated consumers" is very highly statistically related to predictable income growth - and thus standard excess" sensitivity' tests would reject the hypothesis that consumers are behaving according to the" standard model. Results are not much better for the second-order approximation to the Euler" equation. The paper concludes that empirical estimation of consumption Euler equations should" not be abandoned, and discusses some alternative empirical strategies that are not subject to the" problems of Euler equation estimation.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
6298.
Length: Date of creation: Dec 1997 Date of revision: Handle: RePEc:nbr:nberwo:6298
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Find related papers by JEL classification: C6 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming D91 - Microeconomics - - Intertemporal Choice and Growth - - - Intertemporal Consumer Choice; Life Cycle Models and Saving
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.:
Pierre-Olivier Gourinchas & Jonathan A. Parker, 1999.
"Consumption Over the Life Cycle,"
NBER Working Papers
7271, National Bureau of Economic Research, Inc.
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Pierre-Olivier Gourinchas & Jonathan A. Parker, 2002.
"Consumption Over the Life Cycle,"
Econometrica,
Econometric Society, vol. 70(1), pages 47-89, January.
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Cited by: (explanations, 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.)
Orazio P. Attanasio & Hamish Low, 2004.
"Estimating Euler Equations,"
Review of Economic Dynamics,
Elsevier for the Society for Economic Dynamics, vol. 7(2), pages 405-435, April.
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