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Occupational gender segregation: index measurement and econometric modeling
1Department of Economics, University of Newcastle, Callaghan, New South Wales, Australia. ecmjw@cc.newcastle.edu.au
Demography
|December 16, 1998
Summary
This study compares occupational gender segregation measurement methods. It contrasts traditional indices like dissimilarity with newer log models for analyzing employment data.
Area of Science:
- Sociology
- Economics
- Quantitative Social Science
Background:
- Rigorous measurement is crucial for empirical studies on occupational gender segregation.
- Existing consensus favors margin-free or decomposable indices for time-series and cross-sectional employment data analysis.
Purpose of the Study:
- To contrast the construction and interpretation of traditional gender segregation indices with multiplicative log models.
- To evaluate different approaches for measuring occupational gender segregation.
Main Methods:
- Comparison of the index of dissimilarity and the Karmel-MacLachlan index.
- Analysis of multiplicative log models and their derived margin-free odds ratios.
Main Results:
- Highlights differences in construction and interpretation between traditional indices and log models.
- Discusses the derivation of margin-free measures from multiplicative models.
Conclusions:
- The choice of measurement index impacts the understanding of gender segregation.
- Multiplicative log models offer an alternative framework for analyzing gender segregation in employment data.