Parameter estimation of nonlinear econometric models using particle swarm optimization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F10%3A86076677" target="_blank" >RIV/61989100:27510/10:86076677 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Parameter estimation of nonlinear econometric models using particle swarm optimization
Original language description
Global optimization is an essential component of econometric modeling. Optimization in econometrics is often difficult due to irregular cost functions characterized by multiple local optima. The goal of this paper is to apply a relatively new stochasticglobal technique, particle swarm optimization, to the well-known but difficult disequilibrium problem. Because of its co-operative nature and balance of local and global search, particle swarm is successful in optimizing the disequilibrium maximum likelihood function, providing better values than those reported in the literature obtained using other stochastic techniques. These encouraging results suggest that particle swarm optimization may be successfully applied to difficult econometrics problems, possibly in conjunction with existing methods.
Czech name
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Czech description
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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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Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
Ekonomická revue - Central European Review of Economics Issues
ISSN
1212-3951
e-ISSN
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Volume of the periodical
13
Issue of the periodical within the volume
4
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
7
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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