K Means Clustering Analysis of the Determinants of Human Development Index for the Member States of the Organization for Islamic Cooperation

Hilal GÜLOĞLU (), Bülent GÜLOĞLU () and Murat GÜVEN ()
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Hilal GÜLOĞLU: İstanbul Üniversitesi, İslam İktisadı ve Finansı Doktora Programı, İstanbul, Türkiye.
Bülent GÜLOĞLU: İstanbul Teknik Üniversitesi, Ekonomi Bölümü, İstanbul, Türkiye
Murat GÜVEN: İstanbul Teknik Üniversitesi, Ekonomi Bölümü, İstanbul, Türkiye.

Eurasian Eononometrics, Statistics and Emprical Economics Journal, 2018, vol. 11, issue 11, 67-77

Abstract: The Human Development Index is one of the most important indexes showing the development levels of countries. In this study, Human Development Index is formed for 27 member countries of the Islamic Cooperation Organization using per capita income, life expectancy at birth and education variables. In addition, the determinants of human development level are obtained by employing k means clustering analysis and the countries are classified as high and low by their developmental level. The results show that Brunei, Kuwait and Qatar have high levels of human development level compared to other Islamic countries.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eas:econst:v:11:y:2018:i:11:p:67-77

DOI: 10.17740/eas.stat.2018�V11�05

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