Using a unique data set containing explicit measures of both personality and tastes, this study applies logit techniques to predict which of five broadly defined occupational groups an individual will enter. The addition of personality and taste factors to a conventional set of variables-gender, race, education, experience, and father's socioeconomic status-significantly increases the predictive accuracy of estimating equations. Also, the results are generally consistent with a well-functioning labor market that sorts workers into jobs satisfying their individual preferences. A specific finding is that gender differences in occupational structure are strongly linked to differences between men's and women's personalities and tastes. (Abstract courtesy JSTOR.)
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Article provided by ILR Review, ILR School, Cornell University in its journal ILR Review.
Volume (Year): 39 (1986) Issue (Month): 3 (April) Pages: 412-424 Download reference. The following formats are available: HTML,
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