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Author: Marcis, John G.
Resulting in 2 citations.
1. Dalton, Amy H.
Marcis, John G.
The Determinants of Job Satisfaction for Young Males and Females
Atlantic Economic Journal 14,3 (September 1986): 85.
Also: http://www.springerlink.com/content/m22555067704762n/
Cohort(s): NLSY79
Publisher: International Atlantic Economic Society
Keyword(s): Gender Differences; Job Satisfaction; Modeling, Logit; Unemployment, Youth; Working Conditions

Permission to reprint the abstract has not been received from the publisher.

The growing role of females in the labor force makes the study of the quality of the workplace important for policy considerations. Logit regression analysis is used to test for the possible existence of gender differences in job satisfaction among young adults. Data are drawn from the 1980 NLSY, a sample consisting of 967 females and 1,230 males. The results indicate gender differences in the determinants of job satisfaction. For males, job satisfaction is more closely associated with general background characteristics, such as education level, marital status, and racial/ethnic differences. Job satisfaction for females is more closely linked with the workplace; for example, the wage rate, experience in the labor market, and job tenure. Five of the seven workplace variables produced conflicting signs on the coefficients for males and females.
Bibliography Citation
Dalton, Amy H. and John G. Marcis. "The Determinants of Job Satisfaction for Young Males and Females." Atlantic Economic Journal 14,3 (September 1986): 85.
2. Marcis, John G.
Sex Differences in Job Quitting by Younger Workers
Presented: Cincinnati, OH, American Statistical Association Annual Meetings, 1982
Cohort(s): NLSY79
Publisher: American Statistical Association
Keyword(s): Mobility, Job; Quits; Sex Roles; Unemployment

This study reports on an empirical investigation of labor market behavior among young workers. The hypothesis tested in this study is that sex-related differences in younger labor market participants do not affect their decision to voluntarily change their employment status, against the simple alternative that sex-related differences do produce such an effect. The study first investigates sex differences in the reasons for quitting employment and then empirically estimates the probability of quitting using a logit model. Hence, the model allows us to examine how a set of attributes influences the probability of an individual quitting employment.
Bibliography Citation
Marcis, John G. "Sex Differences in Job Quitting by Younger Workers." Presented: Cincinnati, OH, American Statistical Association Annual Meetings, 1982.