Rich, Average And Poor Regions In The Czech And Slovak Republic - Model Based Clustering

Abstract: One way to analyse the actual state of economics can be done by quantitative illustration of the financial power of households. The current economical crisis has the greatest negative impact on the poorest households below the poverty threshold. Therefore, this paper focuses on quantification of the financial situation of households in individual regions in correlation with the poverty threshold. It contains description of methods used and results of their application with respect to evaluation of spatial distribution of poverty of population on the regional level in the Czech Republic and Slovakia. The methodology is based on finite mixtures of regression models that belong to methods called Model Based Clustering. It concerns special methods of clustering of objects that are based on probability models. The criterion for clustering of regions is the level of risk of poverty rate of households. The regions are divided into three clusters (components) - "rich", "middle", and "poor"

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch
• Anmerkungen: Veröffentlichungsversion ; begutachtet (peer reviewed) ; In: Research Journal of Economics, Business and ICT ; 3 (2011) ; 9-14

Klassifikation und Themen

• Klassifikation: Wirtschaft

Beteiligte, Orts- und Zeitangaben

• Ereignis: Veröffentlichung
• (wo): Mannheim
• (wer): SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V.
• (wann): 2011
• Urheber: Bartošová, Jitka

Weitere Informationen

• URN: urn:nbn:de:0168-ssoar-74869-7
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 25.03.2025, 13:42 MEZ