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Predictive performance of DSGE model for small open economy - the case study of Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F13%3A00070677" target="_blank" >RIV/00216224:14310/13:00070677 - isvavai.cz</a>

  • Result on the web

    <a href="http://acta.mendelu.cz/61/7/2229/" target="_blank" >http://acta.mendelu.cz/61/7/2229/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.11118/actaun201361072229" target="_blank" >10.11118/actaun201361072229</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predictive performance of DSGE model for small open economy - the case study of Czech Republic

  • Original language description

    Multivariate time series forecasting is applied in a wide range of economic activities related to regional competitiveness and is the basis of almost all macroeconomic analysis. From the point of view of political practice is appropriate to seek a modelthat reached a quality prediction performance for all the variables. As monitored variables were used GDP growth, inflation and interest rates. The paper focuses on performance prediction evaluation of the small open economy New Keynesian DSGE model forthe Czech republic, where Bayesian method are used for their parameters estimation, against different types of Bayesian and naive random walk model. The performance of models is identified using historical dates including domestic economy and foreign economy, which is represented by countries of the Eurozone. The results indicate that the DSGE model generates estimates that are competitive with other models used in this paper.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis

  • ISSN

    1211-8516

  • e-ISSN

  • Volume of the periodical

    LXI

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    10

  • Pages from-to

    2229-2238

  • UT code for WoS article

  • EID of the result in the Scopus database