predictive performance of dsge model for small open economy – the case study of czech republic

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2013
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Abstract
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 model that 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 for the 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.
Reference Key
jebek2013actapredictive Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Tomáš Jeřábek;Jakub Trojan;Radka Šperková
Journal Talanta
Year 2013
DOI
10.11118/actaun201361072229
URL
https://acta.mendelu.cz/61/7/2229/
Keywords
gdp growth inflation

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