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Procedia Computer Science
Article . 2015 . Peer-reviewed
License: CC BY NC ND
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Procedia Computer Science
Article . 2015
License: CC BY NC ND
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Parametric Control of Macroeconomic Indicators Volatility

Authors: Abdykappar A. Ashimov; Yuriy V. Borovskiy; Mukhit Onalbekov;

Parametric Control of Macroeconomic Indicators Volatility

Abstract

AbstractThe paper demonstrates methods for solving urgent problems of detecting and suppressing the volatility of macroeconomic indicators on the basis of the parametric control theory and the global dynamic stochastic general equilibrium model, describing the economies of the member states and candidates for membership in the Customs Union, as well as the European Union and the rest of the world. A linear approximation of a nonlinear model is derived and its parameters are estimated using Bayesian approach. The possibility of macroeconomic analysis of the impact of internal and external shocks on the economy indicators of the countries (and regions) at the historic and forecast periods is shown for the case of Kazakhstan. The possibility of solving the parametric control problem of the volatility of gross domestic product and inflation at the level of separate country (for the case of Kazakhstan) and at the level of the Customs Union both on the historic and the forecast intervals is demonstrated.

Keywords

Global multi-country model, Parametric control theory, Dynamic stochastic general equilibrium model, Volatility of macroeconomic indicators

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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