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Comparison of prediction power of BVAR and DSGE models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F14%3A00076456" target="_blank" >RIV/00216224:14560/14:00076456 - isvavai.cz</a>

  • Result on the web

    <a href="http://mme2014.upol.cz/downloads/MME_2014_Proceedings.pdf" target="_blank" >http://mme2014.upol.cz/downloads/MME_2014_Proceedings.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of prediction power of BVAR and DSGE models

  • Original language description

    This paper analyses macroeconomic development in the Czech Republic using structural steady state Bayesian VAR model, classical VAR model, and New Keynesian DSGE model for a small open economy. The steady state BVAR was developed by Villani (2009), DSGEmodel is borrowed from Justiniano and Preston (2004). Foreign sector in VAR models is implemented as block-exogenous. The models are estimated on data of Czech economy covering period 1996Q3 ? 2013Q3. All models are compared on the basis of prediction performance measured by RMSE, impulse responses and variance decomposition. The results show that steady state BVAR has better prediction power for longer time horizons which is in accordance with its structure. On the other hand, DSGE model better predicts behaviour of variables for short periods, up to four quarters.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of 32nd International Conference Mathematical Methods in Economics

  • ISBN

    9788024442099

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    536-541

  • Publisher name

    Palacký University

  • Place of publication

    Olomouc

  • Event location

    Olomouc

  • Event date

    Jan 1, 2014

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article