2014
Small open economy in period of recession: Nonlinear DSGE approach.
SÚKUPOVÁ, Karolína and Osvald VAŠÍČEKBasic information
Original name
Small open economy in period of recession: Nonlinear DSGE approach.
Authors
SÚKUPOVÁ, Karolína (203 Czech Republic, belonging to the institution) and Osvald VAŠÍČEK (203 Czech Republic, belonging to the institution)
Edition
Olomouc, 32nd International Conference Mathematical Methods in Eocnomics Conference Proceedings. p. 997-1002, 6 pp. 2014
Publisher
Palacký University
Other information
Language
English
Type of outcome
Proceedings paper
Field of Study
50200 5.2 Economics and Business
Country of publisher
Czech Republic
Confidentiality degree
is not subject to a state or trade secret
Publication form
storage medium (CD, DVD, flash disk)
References:
RIV identification code
RIV/00216224:14560/14:00076470
Organization unit
Faculty of Economics and Administration
ISBN
978-80-244-4209-9
UT WoS
000356417900171
Keywords in English
small open economy; shock decomposition; nonlinear DSGE model; time varying parameters; unscented particle filter
Tags
International impact, Reviewed
Changed: 12/8/2020 14:10, Mgr. Michal Petr
Abstract
In the original language
In this paper, we study a model of a small open economy and its behavior with respect to the period of the global recession and the subsequent recovery. As an example, the dynamic stochastic model of a general equilibrium of the Czech real economy is used. In the rst part of the paper a model with the constant parameters is estimated. We use historic shock decomposition of the main macroeconomic variables to identify shocks, which played the most signicant role in the recession. In the subsequent analysis we use the same model, but we relax the typical assumption about structural parameters and we let them to vary in time. Their changes would imply, that the global recession had an in uence on the structure of the economy. The economy is represented by the second order approximation of a non{linear DSGE model. The unscented particle lter is used to identify the trajectories of the time{varying parameters.
Links
MUNI/A/0808/2013, interní kód MU |
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