Abstract
A new multidimensional version of the G-segregation index is developed and applied to the study of occupational segregation. U.S. Current Population Survey data are used to measure the difference in occupational segregation between races as well as the change between time periods. Decomposition of the difference (change) into ‘occupation mix’ and ‘gender composition’ components indicates the contribution of each factor. Because these inequality measures are computed from sample data, distributional information required to test hypotheses is lacking. Two computer-intensive methods for estimating the distributional properties are demonstrated. The approximate randomization and bootstrap methodologies are used to test for statistically significant differences in segregation between races and for changes over time. In addition, the components of the decomposition are examined for statistical significance.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
