Monetary policy forecasting in a DSGE model with data that is uncertain, unbalanced and about the future

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Borradores de Economía; No. 559
Date published
2009-04-15
Date of last update
2009-04-15
Author
González-Gómez, Andrés
Mahadeva, Lavan
Rodríguez-Guzmán, Diego Arturo
Rojas, Luis Eduardo
Document language
spa
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Las opiniones contenidas en el presente documento son responsabilidad exclusiva de los autores y no comprometen al Banco de la República ni a su Junta Directiva.
Abstract
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
JEL Codes
C61 - Optimization Techniques; Programming Models; Dynamic AnalysisF47 - Macroeconomic Aspects of International Trade and Finance: Forecasting and Simulation: Models and ApplicationE01 - Measurement and Data on National Income and Product Accounts (NIPA) and Wealth; Environmental Accounts
Keywords
Monetary policy ; DSGE ; Forecast ; Kalman filter ;
URI
https://repositorio.banrep.gov.co/handle/20.500.12134/5576
https://hdl.handle.net/20.500.12134/5576
https://doi.org/10.32468/be.559
https://ideas.repec.org/p/bdr/borrec/559.html
https://ideas.repec.org/p/col/000094/005480.html
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This work is licensed under a Creative Commons Reconocimiento-NoComercial 4.0.This document has been deposited by the author (s) under the following certificate of deposit