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Bridging DSGE models and the raw data

Fabio Canova ()

Journal of Monetary Economics, 2014, vol. 67, issue C, 1-15

Abstract: A method to estimate DSGE models using the raw data is proposed. The approach links the observables to the model counterparts via a flexible specification which does not require the model-based component to be located solely at business cycle frequencies, allows the non-model-based component to take various time series patterns, and permits certain types of model misspecification. Applying standard data transformations induces biases in structural estimates and distortions in the policy conclusions. The proposed approach recovers important model-based features in selected experimental designs. Two widely discussed issues are used to illustrate its practical use.

Keywords: DSGE models; Filters; Structural estimation; Business cycles (search for similar items in EconPapers)
Date: 2014
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Related works:
Working Paper: Bridging DSGE Models and the raw data (2013) Downloads
Working Paper: Bridging DSGE models and the raw data (2012) Downloads
Working Paper: Bridging DSGE models and the raw data (2012) Downloads
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DOI: 10.1016/j.jmoneco.2014.06.003

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