Occupational gender segregation: Index measureiient and econometric modeling | Zendy

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Occupational gender segregation: Index measureiient and econometric modeling

Author(s) -

Martin Watts

Publication year - 1998

Publication title -

demography

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.099

H-Index - 129

eISSN - 1533-7790

pISSN - 0070-3370

DOI - 10.2307/3004016

Subject(s) - index (typography) , multiplicative function , econometrics , margin (machine learning) , statistics , mathematics , contrast (vision) , economics , computer science , mathematical analysis , machine learning , artificial intelligence , world wide web

Empirical studies of gender segregation by occupation must be founded on rigorous measurement procedures. There appears to be a consensus that any index used in the analysis of time-series or international cross-section employment data must be either margin-free or decomposable to yield a margin-free component. On the other hand, Charles and Grusky (1995) advocate the use of multiplicative log models from which a margin-free odds ratio can be derived. In this paper, I contrast the construction and interpretation of the index of dissimilarity and the Karmel-MacLachlan index with the multiplicative modeling of gender segregation and the associated log index.

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