Describing occupational segregation in sparse and incomplete arrays

David B. Grusky, Asaf Levanon

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)554-572
Number of pages19
JournalSociological Methods and Research
Issue number4
StatePublished - May 2006
Externally publishedYes


  • Log-multiplicative model
  • Missing data
  • Sampling zeros
  • Sex segregation

ASJC Scopus subject areas

  • Social Sciences (miscellaneous)
  • Sociology and Political Science


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