Local versus overall segregation measures

Alonso‐Villar, Olga; Río, Coral del

doi:10.1016/j.mathsocsci.2010.03.002

Cited by 48 publications

(42 citation statements)

References 29 publications

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“…The price to pay is that this does not inform about the situation of each specific group. However, ALONSO-VILLAR and DEL RÍO (2010) provided segregation measures that allow conciliating both approaches, showing their complementarities. Multi-group segregation measures are just a weighted average of the segregation of each group, with weights equal to their share on the total workforce.…”

Section: Multi-group Occupational Segregation Across States: a Theorementioning

confidence: 99%

Occupational Segregation by Race and Ethnicity in the United States: Differences Across States

2014

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Section: Multi-group Occupational Segregation Across States: a Theorementioning

confidence: 99%

Occupational Segregation by Race and Ethnicity in the United States: Differences Across States

2014

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“…Alonso‐Villar and del Río (2010) proposed a different approach contrasting the distribution of a target group across occupations with the distribution of total employment to explore the performance of that group 2 . This approach places an emphasis on how the various demographic groups fill job positions (all groups shape the employment structure of the economy) and allows easy comparisons among groups.…”

Section: Background: Segregation In a Multigroup Contextmentioning

confidence: 99%

“…Local segregation is indeed a phenomenon that requires consideration of the relative position of individuals with respect to others, as is done when measuring overall segregation. Thus, Alonso‐Villar and del Río (2010) maintain that the segregation level of a target group can be calculated insofar as the distribution of the group across occupations is compared with the distribution of total employment. These tools are introduced in what follows 3…”

Section: Background: Segregation In a Multigroup Contextmentioning

confidence: 99%

“…Alonso‐Villar and del Río (2010) show that when the segregation curve of a distribution is above that of another (which can represent either that of another demographic group or that of the same target group at another period of time), any local segregation index satisfying some basic properties will conclude that segregation is higher for the lower distribution 5 . This makes the use of these curves a powerful procedure for empirical analysis because it allows identifying those cases in which the conclusions reached are robust against changes in the local segregation index used.…”

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The Extent of Occupational Segregation in the United States: Differences by Race, Ethnicity, and Gender

Alonso‐Villar¹,

Río²,

Gradín³

2012

Industrial Relations

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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.

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“…In this article, we examine overall and local occupational segregation using the measures proposed in Alonso-Villar and Del Río (2010). To the best of our knowledge, this is the first study that attempts to examine occupational segregation in India for both gender and social groups using these measures.…”

Section: Introductionmentioning

confidence: 99%

Occupational Segregation in the Indian Labour Market

Agrawal

2015

Eur J Dev Res

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This article measures the extent of occupational segregation for gender and social groups in India. It is based on a recent round of a nationally representative employment and unemployment survey of the Government of India. We use overall and local measures of occupational segregation. We find that occupational segregation for both genders and social groups is higher in the urban sector than in the rural sector. Females are more segregated than their male counterparts in both sectors. Among social groups, scheduled caste and scheduled tribe groups have higher levels of segregation. Furthermore, we find that regular workers and the elderly are more segregated when we examine segregation, respectively, by nature of employment and across age groups.Cet article mesure l'étendue de la ségrégation occupationnelle en fonction du genre et du groupe social en Inde. Cet article s'appuie sur un sondage représentatif à l'échelle nationale sur l'emploi et le chômage, récemment réalisé par le Gouvernement Indien. Nous utilisons des mesure générales et locales pour la ségrégation occupationnelle. Nous trouvons que la ségrégation occupationnelle pour les deux genres ainsi que pour les divers groupes sociaux est plus importante dans le secteur urbain que dans le secteur rural. Dans les deux secteurs,les femmes sont plus susceptibles de subir la ségrégation que leurs homologues masculins. Parmi les groupes sociaux, les castes et les tribus les plus basses sont les plus affectées par la ségrégation. De plus, nous trouvons que les ouvriers routiniers et les personnes âgées sont plus ségréguées lorsque l'on examine la ségrégation selon la nature de l'emploi ou selon différentes catégories d'âge, respectivement.

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Local versus overall segregation measures

Cited by 48 publications

References 29 publications

Occupational Segregation by Race and Ethnicity in the United States: Differences Across States

Occupational Segregation by Race and Ethnicity in the United States: Differences Across States

The Extent of Occupational Segregation in the United States: Differences by Race, Ethnicity, and Gender

Occupational Segregation in the Indian Labour Market

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