Measuring social polarization with ordinal and categorical data

We examine the measurement of social polarization with categorical and ordinal data. This is particularly useful in many contexts where cardinal data are not available. The new measures we propose are characterized axiomatically. We partition the society into groups on the basis of salient social characteristics, such as race and ethnicity, and we take into account the extent to which these groups are clustered in certain regions of an attribute’s distribution

The Subnational Human Development Database

Contains fulltext : 202965.pdf (publisher's version ) (Open Access

Gender inequality and inter-household economic inequality in emerging economies: exploring the relationship

While most emerging economies have been characterised by persistence/growth of inter- household economic inequality in recent decades, and simultaneous poor performance on gender equality, the intersecting relationship between these two trends so far has not received much attention. This article is an initial attempt look at this relationship, showing how gender inequality has both contributed to, and been affected by, growing economic inequality. It focuses on eight emerging economies – Brazil, Russia, India, China, South Africa, Mexico, Indonesia, and Turkey (dubbed the BRICSAMIT countries). The article analyses Gini coefficient trends and Global Gender Gap Index trends, and draws in addition on insights gained from seven exploratory interviews with Oxfam colleagues and partners working on women’s rights in the considered countries. It concludes with a reflection on the possible future policy agenda that would allow one to simultaneously address the issues of gender inequality and economic inequality in the analysed countries