Human capital inequality and income inequality: developing countries

This paper examines the effect of human capital inequality on income inequality in Developing Countries. Gini coefficient is used as a consistent measurement for both inequalities. This paper also adds a few control variables: Globalization Index, GDP per capita and total population. It uses dynamic...

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Main Authors: Mahmood, Suraya, Mohd Noor, Zaleha
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2013
Online Access:http://psasir.upm.edu.my/id/eprint/28326/1/28326.pdf
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author Mahmood, Suraya
Mohd Noor, Zaleha
author_facet Mahmood, Suraya
Mohd Noor, Zaleha
author_sort Mahmood, Suraya
collection UPM
description This paper examines the effect of human capital inequality on income inequality in Developing Countries. Gini coefficient is used as a consistent measurement for both inequalities. This paper also adds a few control variables: Globalization Index, GDP per capita and total population. It uses dynamic panel data two-Step System Generalized Method of Moment (GMM) for 52 countries over the period of 1970-2010. The empirical results show that human capital inequality has a significance positive effect on income inequality. This result is similar with the theoretical framework, where the human capital inequality and income inequality are positively correlated. However, other control variables such as Global and total population are insignificant with income inequality except for GDP per capita at 5 and 10 percent level. Thus, in order to reduce income inequality and to give citizens equal opportunities, governments of developing countries and policymakers need to minimise human capital inequality.
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spelling upm.eprints-283262015-09-21T02:09:20Z http://psasir.upm.edu.my/id/eprint/28326/ Human capital inequality and income inequality: developing countries Mahmood, Suraya Mohd Noor, Zaleha This paper examines the effect of human capital inequality on income inequality in Developing Countries. Gini coefficient is used as a consistent measurement for both inequalities. This paper also adds a few control variables: Globalization Index, GDP per capita and total population. It uses dynamic panel data two-Step System Generalized Method of Moment (GMM) for 52 countries over the period of 1970-2010. The empirical results show that human capital inequality has a significance positive effect on income inequality. This result is similar with the theoretical framework, where the human capital inequality and income inequality are positively correlated. However, other control variables such as Global and total population are insignificant with income inequality except for GDP per capita at 5 and 10 percent level. Thus, in order to reduce income inequality and to give citizens equal opportunities, governments of developing countries and policymakers need to minimise human capital inequality. Universiti Putra Malaysia Press 2013-09 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28326/1/28326.pdf Mahmood, Suraya and Mohd Noor, Zaleha (2013) Human capital inequality and income inequality: developing countries. Pertanika Journal of Social Sciences & Humanities, 21 (spec. Aug.). pp. 189-200. ISSN 0128-7702; ESSN: 2231-8534 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JSSH%20Vol.%2021%20%28S%29%20Sep.%202013/13%20Page%20189-200.pdf
spellingShingle Mahmood, Suraya
Mohd Noor, Zaleha
Human capital inequality and income inequality: developing countries
title Human capital inequality and income inequality: developing countries
title_full Human capital inequality and income inequality: developing countries
title_fullStr Human capital inequality and income inequality: developing countries
title_full_unstemmed Human capital inequality and income inequality: developing countries
title_short Human capital inequality and income inequality: developing countries
title_sort human capital inequality and income inequality developing countries
url http://psasir.upm.edu.my/id/eprint/28326/1/28326.pdf
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AT mohdnoorzaleha humancapitalinequalityandincomeinequalitydevelopingcountries