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This study investigates determinants of the male-female unionization differential. Logit analysis is used to estimate three union membership equations, using data taken from the May 1976 Current Population Survey. Standard human capital measures, plus location, race, and sex, are first included as explanatory variables, and then occupational and industry status are added sequentially. The results indicate that sex differences in occupational and industrial status account for over half of the male-female unionization differential. The authors also conclude, however, that increasing the female unionization rate to equal the male rate would only modestly diminish the sex difference in wages. (Author's abstract.)
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Antos et al. (1980) studied this question.
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