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This paper attempts to determine the extent to which inequality in wage earnings in the Russian Federation is unfair. Unlike other similar attempts that can, at best, produce a lower bound on the estimate of the share of inequality that is unfair, this paper exploits the longitudinal nature of the data to come up with a lower bound as well as an upper bound. The upper bound is further refined to take into account the indirect effect of circumstances at birth (gender, parental wealth, etc.) on effort. Results show that the upper bound on the inequality of opportunity may be three to four times the measured lower bound and significantly higher for females than males in the sample. Finally, comparison with the United States and Germany show that although total inequality is lower in Russia, the share of unfair inequality is distinctly larger. The markedly large explanatory role of extraneous factors, such as gender and parental characteristics, in wage inequality calls for a close examination of governments’ efforts to address inequities in the labor market.

This paper investigates the relationship between overall inequality in China and the contributions of physical capital, human capital and social capital. The investment in physical capital tends to enlarge overall inequality while human capital helps to reduce the inequality. Human capital appears to be more influential than physical capital in overall inequality reduction in the research period. Social capital (people's social networks) however, does not seem to exert any impact on overall inequality in the post-reform era. Possible policy implications of these results are that measures should be taken to pursue more even distributed investment of physical capital and to increase people's education in order to reduce overall inequality in China.

Authors apply a decomposition method to a measure of inequality of opportunities among children (the human opportunity index) to examine the question of how much does gender of a child contribute to inequality in access to critical services that should be available as basic minimum opportunities to all children. Authors use a database of 47 countries for which Demographic and Health Survey (DHS) data is available during 2003-2010, four indicators for opportunities and a limited set of circumstances or characteristics of the child. On the average and for most countries, the contribution of gender of the child to inequality of opportunity in two measures of school attendance and immunization tends to be low and much below the contribution of household factors such as economic status and urban/rural location. In a few countries, however, gender still plays a more substantial role in influencing a child's access to a particular service. Preliminary evidence also suggests that inequalities and contributions of gender to inequality across opportunities are correlated, particularly for opportunities in the same sector.

Using information on asset ownership, housing quality, and access to services to construct an indicator of household wealth, the author estimates the share of inequality among prime-age Turkish women that can be attributed to unequal opportunities. Both parametric and non-parametric estimation methods are used, and robustness to some sample redefinitions is verified. The author find that at least one-third (one-fourth) of overall wealth (imputed consumption) inequality in Turkey is associated with morally irrelevant, pre-determined circumstances. The circumstances that account for the largest share of the variance are rural or urban birth area and father's education. Controlling for rural birth, parents' education, language spoken at home, and number of siblings, a three-way regional breakdown of birthplace is not an important predictor of wealth. An opportunity deprivation profile reveals that more than two thirds of the most deprived group in Turkey consists of women born in the rural areas of the Eastern region, from mothers with no formal education.