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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

  • 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

    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

  • 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