Forecasting with a DSGE model of a small open economy within the monetary union
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11640%2F14%3A00430012" target="_blank" >RIV/00216208:11640/14:00430012 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1002/for.2306" target="_blank" >http://dx.doi.org/10.1002/for.2306</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/for.2306" target="_blank" >10.1002/for.2306</a>
Alternative languages
Result language
angličtina
Original language name
Forecasting with a DSGE model of a small open economy within the monetary union
Original language description
In this paper we lay out a two-region dynamic stochastic general equilibrium (DSGE) model of an open economy within the European Monetary Union. The model, which is built in the New Keynesian tradition, contains real and nominal rigidities such as habitformation in consumption, price and wage stickiness as well as rich stochastic structure. The framework also incorporates the theory of unemployment, small open economy aspects and a nominal interest rate that is set exogenously by the area-wide monetaryauthority. As an illustration, the model is estimated on Luxembourgish data. We evaluate the properties of the estimated model and assess its forecasting performance relative to reduced-form model such as vector autoregression (VAR). In addition, we study the empirical validity of the DSGE model restrictions by applying a DSGE-VAR approach.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AH - Economics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Forecasting
ISSN
0277-6693
e-ISSN
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Volume of the periodical
33
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
24
Pages from-to
315-338
UT code for WoS article
000340355100001
EID of the result in the Scopus database
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