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This study examines the relationship between social inclusions of migrant and income inequality. Both positive and negative impacts of social inclusion on income inequality have been observed in the previous literature. This study specifically considers two types of migration flow: migration flow from EU and migration flow from non‐EU. The aim of this article is twofold: 1) is there a strong association between social inclusion of migrants and income inequality, 2) is there any different impact of social inclusion of two types of migrants (EU vs non‐EU)? Using data from 33 mainly European countries over the period 2003‐2015 and controlling for savings rate, arable land rate and age‐dependency ratio, our results indicate that there is a significant negative relationship between social inclusion and income inequality. In particular, we find that social inclusion from non‐EU migrants significantly reduces income inequality compare with EU migrants. [ABSTRACT FROM AUTHOR]

This paper investigates the relationship between different religious groups and income inequality. In particular, we examine whether different religious groups (Christianity, Islam, Judaism and Buddhism) have an impact on income inequality in a global perspective. Furthermore, this paper also sheds light on the effects of major religious sub-groups (Christianity and Islam) on income inequality. Using data for 130 countries from 1970 to 2013, we estimate a panel data model, controlling for religious beliefs, savings rate, arable land rate and age-dependency ratio. Our results indicate that religion plays an important role in explaining income inequality. In particular, we found that Islam and Judaism reduce income inequality while in general, Christianity and Buddhism increases inequality. However, the effects from sub-groups of Christianity on inequality are mixed; in particular, Anglican and Orthodox significantly reduce inequality while the effect from Catholic and Protestant is opposite. These findings are robust to different measures of inequality and alternative estimation techniques that take care of endogeneity. [ABSTRACT FROM AUTHOR]