title: Occupational gender segregation: index measurement and econometric modeling.
abstract: 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.
authors.affiliation: Department of Economics, University of Newcastle, Callaghan, New South Wales, Australia. ecmjw@cc.newcastle.edu.au
authors.forename: M
authors.initials: M
authors.lastname: Watts
mesh_terms: D004651:Employment / Q000706:statistics & numerical data / Q000639:trends; D005260:Female; D006801:Humans; D008297:Male; D017059:Models, Econometric; D009790:Occupations / Q000706:statistics & numerical data / Q000639:trends*; D011287:Prejudice; D006113:United Kingdom