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In this article, [the authors] evaluate the impact of social origin on the realisation of educational intentions at the time of becoming eligible for higher education in Germany. In general, [they found] high persistence of intentions and actual attendance of higher education. However, effects of parental education on the changes of educational intentions increase the existing social inequality with regard to higher education at the time of leaving secondary school. The group which is affected most are those young adults planning to study after vocational training - while the gap between different origin groups does not widen much during other stop-outs from education. This can be explained only partly by previous educational performance. The findings suggest that estimates of educational inequality are attenuated when entry into higher education is approximated by educational intentions of young adults.

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Existing studies consistently find a gap in further education between high-skilled and low-skilled workers, implying a gap in formal training between high-skilled and low-skilled classes. In this paper, we hypothesize that the most important reasons for differences between social classes in further education participation are grounded in job characteristics rather than worker characteristics. This is in line with theoretical foundations of the construction of the widely used Erikson-Goldthorpe-Portocarero (EGP) class scheme and related classifications, such as the new European Socio-Economic Classification (ESeC) scheme that we apply in our analyses. We explore the importance of different job characteristics for the explanation of the class gap with a dataset providing detailed information about the jobs of more than 20,000 German employees. The tasks performed and the technologies used in the job are found to be of particular importance. Both are able to explain much of the variation in training activity between different class positions and different educational levels. We discuss the implications of our results for social inequality. Our conclusion is that much of the variation of training incidents between classes comes from the very simple fact that they carry out different jobs. This should always be taken into account when inequality in training between individuals is examined.

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As with earlier social disparities in educational achievement, re-enrolment in college education can depend on parental social background. [The authors] link this finding with gender differences using data from the US National Longitudinal Study of Youth 79 and ask if the decision to re-enrol in college is influenced by parental social class in a gender-specific way. The results show that adding maternal class position to the operationalisation of social origin can be beneficial and result in a better model fit. Moreover, there are gender differences on the part of the child. Working-class men are constantly disadvantaged in their chances to re-enrol in education throughout their lives compared to men with more privileged family backgrounds, while working-class women are only disadvantaged among early re-entrants. This result is reversed in later years and women with working-class parents re-enrol more often.

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In this article, we examine social origin differences in employment patterns across different stages of higher education and compare these differences between vocational and academic fields of study. Using data from a large-scale German student survey, we study the development of inequality, according to social origins, in student employment from first-year to graduating students. We show that inequality in job quality exists and is partly attributable to the need for students from lower social origins to work in order to finance their studies. We hypothesise that initial inequalities decrease as students progress through higher education. While we find evidence for this hypothesis, we also show in multivariate models that the reduction of inequality in the student labour market is explained by prior differences between social origin groups.

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