The study of sex segregation is increasingly based on log-multiplicative and related models that allow analysts to characterize the amount and structure of segregation independently of (a) the mix of occupations in the economy and (b) the relative size of the male and female labor forces. Although these models are elegant and powerful, methodological complications can arise when the segregation arrays are sparse and small occupations frequently show up as perfectly segregated (i.e., all male or all female). The authors develop a general approach that makes it possible to analyze such sparse arrays with log-multiplicative and related models.
Charles, Maria and David B. Grusky. 1995. “Models for Describing the Underlying Structure of Sex Segregation.”American Journal of Sociology100:931-971.
2.
Charles, Maria and David B. Grusky. 2004. Occupational Ghettos: The Worldwide Segregation of Women and Men. Stanford, CA: Stanford University Press.
3.
Clogg, Clifford C.1982. “Using Association Models in Sociological Research: Some Examples.”American Journal of Sociology88:114-134.
4.
Clogg, Clifford C. and Scott R. Eliason. 1988. “Some Common Problems in Log-Linear Analysis.” Pp. 226-257 in Common Problems/Proper Solutions, edited by J. Scott Long. Newbury Park, CA: Sage.
5.
Deming, W. Edwards and Frederick F. Stephan. 1941. “On the Interpretation of Censuses as Samples.”Journal of the American Statistical Association45:45-49.
6.
Goodman, Leo A.1979a. “Multiplicative Models for the Analysis of Occupational Mobility Tables and Other Kinds of Cross-Classification Tables.”American Journal of Sociology84:804-819.
7.
Goodman, Leo A.1979b. “Simple Models for the Analysis of Association in Cross-Classifications Having Ordered Categories.”Journal of the American Statistical Association70:755-768.
8.
Grusky, David B. and Maria Charles. 1998. “The Past, Present, and Future of Sex Segregation Methodology.”Demography35:497-504.
9.
Jerby, Iris, Moshe Semyonov, and Noah Lewin-Epstein. 2005. “Capturing Gender-Based Micro-Segregation: A Modified Ratio Index for Comparative Analyses.”Sociological Methods & Research34(1): 122-136.
10.
Little, R. J. A. and D. B. Rubin. 1987. Statistical Analysis With Missing Data. New York: John Wiley.
11.
Weeden, Kim A.1998. “Revisiting Occupational Sex Segregation in the United States, 1910-1990: Results From a Log-Linear Approach.”Demography35:475-487.
12.
Weeden, Kim A.2004. “Profiles of Change: Sex Segregation in the United States, 1910-2000.” Pp. 131-178 in Occupational Ghettos: The Worldwide Segregation of Women and Men, edited by Maria Charles and David B. Grusky. Stanford, CA: Stanford University Press.
13.
Weeden, Kim A. and Jesper B. Sørensen. 2004. “A Framework for Analyzing Industrial and Occupational Sex Segregation in the United States.” Pp. 245-296 in Occupational Ghettos: The Worldwide Segregation of Women and Men, edited by Maria Charles and David B. Grusky. Stanford, CA: Stanford University Press.
14.
Xie, Yu. 1992. “The Log-Multiplicative Layer Effect Model for Comparing Mobility Tables.”American Sociological Review57:380-395.
15.
Xie, Yu. 2000. “Demography: Past, Present, and Future.”Journal of the American Statistical Association95:670-673.
