Monetary Policy Forecasting in a DSGE Model with Data that is Uncertain, Unbalanced and About the Future

Número: 
559
DOI: 
http://doi.org/10.32468/be.559
Publicado: 
Clasificación JEL: 
F47, E01, C61
Palabras clave: 
Monetary policy, DSGE, Forecast, Kalman Filter
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If theory-consistent models can ever hope to forecast well and to be useful for policy, they have to relate to data which though rich in information is uncertain, unbalanced and sometimes forecasts from external sources about the future path of other vari