14 research outputs found

    From GED to College: The Role of Age and Timing in Educational Stratification

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    GED certification has changed the landscape of educational stratification in the U.S. People who complete high school by obtaining a GED are less likely to go to college than those who obtain a traditional high school diploma. Disparities in family background and cognitive skills explain some of the differences in college entry rates between the two groups. Past research, however, ignores the effect of age and timing on each group's transition from secondary to post-secondary schooling. Age is likely to influence college entry because educational attainment is a highly age-dependent process. GED recipients complete high school at later ages than traditional graduates and take longer to make the transition from high school to college. These differences in age are likely to influence the odds of college entry, independent of factors such as family background and cognitive skills. I use data from the National Longitudinal Survey of Youth and discrete time hazard analysis to investigate the relationship between the timing of educational transitions and differences in rates of college entry between traditional graduates and GED recipients. The analysis shows that adjusting for differences in family background and cognitive skills accounts for less than half the difference in rates of college entry while controlling for age and timing accounts for much of the remaining difference. Once social background, cognitive skills and age are controlled, estimated adjusted cumulative probabilities of college entry are nearly equal between the two groups

    Family Size and Educational Attainment in Indonesia: A Cohort Perspective

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    Numerous studies of educational attainment in the United States have shown that schooling is negatively correlated with sibship size. That is, children with fewer brothers and sisters obtain more schooling than those with more siblings. Moreover, this negative relationship exists even after family socioeconomic characteristics are controlled (Featherman and Hauser 1978; Hauser and Sewell 1985; Mare and Chen 1986; Blake 1989). This finding is often explained using an argument of finite resources: parents have limited time, money, and patience to devote to the education of their children, and those with fewer children can invest more per child

    Inequality and the association between involuntary job loss and depressive symptoms

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    a b s t r a c t Although socioeconomic status (SES) has been to shown to be associated with susceptibility to involuntary job loss as well as with health, the ways in which individual SES indicators may moderate the job loss-health association remain underexplored. Using data from the Americans' Changing Lives study, we estimate the ways in which the association between job loss and depressive symptoms depends on five aspects of SES: education, income, occupational prestige, wealth, and homeownership. Our findings indicate that higher SES prior to job loss is not uniformly associated with fewer depressive symptoms. Higher education and lower prestige appear to buffer the health impacts of job loss, while financial indicators do not. These results have a number of implications for understanding the multidimensional role that social inequality plays in shaping the health effects of job loss

    From GED to College

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