Browsing by Subject "Soziale Schichtung"
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Publication Higher education and the fall and rise of inequality(2016) Prettner, Klaus; Schaefer, AndreasWe investigate the effect of higher education on the evolution of inequality. In so doing we propose a novel overlapping generations model with three social classes: the rich, the middle class, and the poor. We show that there is an initial phase in which no social class invests in higher education of their children such that inequality is driven by bequests. Once a certain income threshold is surpassed, the rich start to invest in higher education of their children, which partially crowds out bequests and thereby reduces income inequality and inheritance flows in the short run. The better educated children of the rich, however, enjoy higher incomes such that inequality starts to rise again. As time goes by, the middle class and potentially also the poor start to invest in higher education. As the economy proceeds toward a balanced growth path, educational differences between social groups and thus inequality decline again. We argue that (1) the proposed mechanism has the potential to explain the U-shaped evolution of income inequality and inheritance flows in rich countries as well as the differential investments in higher education by richer and poorer households, (2) the currently observed increase in inequality is likely to level off in the future.Publication Mapping Stratification : the industry-occupationspace reveals the network structure ofinequality(2019) Gala, Paulo; Kaltenberg, Mary; Jara-Figueroa, Cristian; Hartmann, DominikSocial stratification is determined not only by income, education, race, and gender, but also by an individual’s job characteristics and their position in the industrial structure. Utilizing a dataset of 76.6 million Brazilian workers and methods from network science, we map the Brazilian Industry-Occupation Space (BIOS). The BIOS measures the extent to which 600 occupations co-appear in 585 industries, resulting in a complex network that shows how industrial-occupational communities provide important information on the network segmentation of society. Gender, race, education, and income are concentrated unevenly across the core-periphery structure of the BIOS. Moreover, we identify 28 industrial occupational communities from the BIOS network structure and report their contribution to total income inequality in Brazil. Finally, we quantify the relative poverty within these communities. In sum, the BIOS reveals how the coupling of industries and occupations contributes to mapping social stratification.