Economic Convergence Criteria – Factor Analysis

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

čeština

Název v původním jazyce

Economic Convergence Criteria – Factor Analysis

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Economic Convergence Criteria – Factor Analysis

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50201 - Economic Theory

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Advances in Economic Research

ISSN

1083-0898

e-ISSN

—

Svazek periodika

22

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

2

Strana od-do

475-476

Kód UT WoS článku

000408736400015

EID výsledku v databázi Scopus

2-s2.0-84991083793