Paper #1320

Título:

Bridging DSGE models and the raw data

Autor:

Fabio Canova

Fecha:

Noviembre 2008

Resumen:

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 solely located at business cycle frequencies, allows the non model-based component to take various time series patterns, and permits model misspecification. Applying standard data transformations induce 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.

Palabras clave:

DSGE models, Filters, Structural estimation, Business cycles

Códigos JEL:

E3, C3

Área de investigación:

Macroeconomía y Economía Internacional

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