Economic Convergence Criteria – Factor Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F16%3A72847" target="_blank" >RIV/60460709:41110/16:72847 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s11294-016-9610-z" target="_blank" >http://dx.doi.org/10.1007/s11294-016-9610-z</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11294-016-9610-z" target="_blank" >10.1007/s11294-016-9610-z</a>
Alternative languages
Result language
čeština
Original language name
Economic Convergence Criteria – Factor Analysis
Original language description
One of the most common approaches that can describe convergence or divergence tendencies among countries is based on cluster analysis. If distances among clusters are shorter during the time, we can suppose that countries in specific clusters are converging. If distances are longer, countries are diverging. Cardinal aspect of the cluster analysis is to choose appropriate criteria that allow us gathering of the countries. The primary aim of this contribution was to define convergence criteria that were derived by factor analysis. Specifically, the main purpose of factor analysis application is to reduce number of variables. Factor analysis was applied to eighteen macroeconomic indicators in order to create less latent variables which could be used as the new convergence criteria for cluster analysis. According to results, we reduced dataset of input variables by defining four factors that can be used for calculation new values of the four latent criteria.
Czech name
Economic Convergence Criteria – Factor Analysis
Czech description
One of the most common approaches that can describe convergence or divergence tendencies among countries is based on cluster analysis. If distances among clusters are shorter during the time, we can suppose that countries in specific clusters are converging. If distances are longer, countries are diverging. Cardinal aspect of the cluster analysis is to choose appropriate criteria that allow us gathering of the countries. The primary aim of this contribution was to define convergence criteria that were derived by factor analysis. Specifically, the main purpose of factor analysis application is to reduce number of variables. Factor analysis was applied to eighteen macroeconomic indicators in order to create less latent variables which could be used as the new convergence criteria for cluster analysis. According to results, we reduced dataset of input variables by defining four factors that can be used for calculation new values of the four latent criteria.
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50201 - Economic Theory
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Advances in Economic Research
ISSN
1083-0898
e-ISSN
—
Volume of the periodical
22
Issue of the periodical within the volume
4
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
2
Pages from-to
475-476
UT code for WoS article
000408736400015
EID of the result in the Scopus database
2-s2.0-84991083793