This paper studies occupational segregation by ethnicity/race and gender by following a new approach that facilitates multigroup comparisons and econometric analyses to take into account group characteristics. The analysis shows that segregation is particularly intense in the Hispanic and Asian populations (the situation being more severe for the former given its higher concentration in low‐paid jobs). A distinctive characteristic of Hispanics is that segregation is higher for men than for women although females are more concentrated in low‐paid jobs. Segregation neither for women nor for African and Native Americans is reduced by taking human capital variables into account.

In this paper we make a methodological proposal to measure poverty accounting for time by proposing a new index that aims at reconciling the way poverty is measured in a static and a dynamic framework. Our index is able to consider the duration of the poverty spell and the social preference for equality in well-being given that, in contrast with others that have been previously proposed, it is sensitive to the level of inequality between individual complete poverty experiences over time. Moreover, other indices in the literature can be interpreted as special cases of our more general measure. An empirical illustration shows the relevance of considering the distribution of poverty experiences among the population in an international analysis.

The aim of this article is twofold: (1) to descriptively explore the evolution of occupational segregation of women and men of different racial/ethnic groups in the United States during 1940-2010, and (2) to assess the consequences of segregation for each group. For that purpose, in this article, we propose a simple index that measures the monetary loss or gain of a group derived from its overrepresentation in some occupations and underrepresentation in others. This index has a clear economic interpretation. It represents the per capita advantage (if the index is positive) or disadvantage (if the index is negative) of the group, derived from its segregation, as a proportion of the average wage of the economy. Our index is a helpful tool not only for academics but also for institutions concerned with inequalities among demographic groups because it makes it possible to rank them according to their segregational nature.

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Wage discrimination, Distributive analysis, Economics of gender, Glass ceiling, Sticky floor,