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Statistical nonlinearities in the business cycle: a challenge for the canonical RBC model Author info | Abstract | Publisher info | Download info | Related research | Statistics Diego Valderrama
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Significant nonlinearities are found in several cyclical components macroeconomic time series across countries. Standard equilibrium models of business cycles successfully explain most first and second moments of these time series. Nevertheless, this paper shows that a model of this class cannot replicate nonlinear features of the data. Applying the Efficient Method of Moments (Gallant and Tauchen, 1996, 2000) methodology to build an algorithm that searches over the models parameter space establishes the parameterization that best allows replication of all statistical properties of the data. The results show that this parameterization captures nonlinearities in investment but fails to account for observed properties of consumption.
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Paper provided by Federal Reserve Bank of San Francisco in its series Working Papers in Applied Economic Theory with number
2002-13.
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Date of creation: 2002Date of revision:
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Keywords: Business cycles ; Econometric models ; Other versions of this item:
This paper has been announced in the following NEP Reports :
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references 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.)
Diego Valderrama, 2002.
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