School closings have been a key policy measure worldwide for reducing the spread of corona-virus disease (COVID-19). In Germany, federal states closed schools in mid-March and started to reopen them in late April. This policy potentially increased parental obligations for supervision and support during homeschooling and, thus, might reinforce social inequality in educational opportunities. Therefore, this research note investigates social inequality in students' homeschooling efforts. Moreover, it asks whether social disparities in home learning environments, social support, teacher support, and costbenefit-related considerations account for the social differences in homeschooling efforts during the school closing period in Germany. To that end, we use data from an ongoing research project on high school students in their final years that were collected during the school closing period. Our results show pronounced differences in home schooling efforts by social background. Thus far, the mechanisms under study can explain only a moderate part of the social origin effect. In summary, the results show that school closings have the potential to exacerbate social inequality in educational opportunities. Therefore, future research should scrutinise the extent to which school closings reinforce inequality in educational opportunities.
In this study, we focus on the evolution of refugees’ well-being in the first years after their arrival in Germany. In contrast to other immigrants (e.g., labor migrants), refugees experience higher risks of unexpected and traumatic events and insecurity before and during their migration and face various legal and structural barriers in the receiving country. We contribute to the existing literature by exploring from a dynamic perspective possible pre- and postarrival determinants of refugees’ life satisfaction and self-rated health upon arrival in Germany and the development of their life satisfaction and self-rated health in the process of becoming established. Applying linear regression and panel models with recent longitudinal data from the IAB-BAMF-SOEP Survey of Refugees in Germany, we find significant effects of prearrival factors, such as traumatic experiences and the complexity of migration, on both life satisfaction and self-rated health at the time of the first interview. Regarding postarrival factors, our results suggest that improvement in language proficiency and labor market status significantly shape refugees’ life satisfaction and self-rated health. The time-dynamic analyses reveal substantial improvements in life satisfaction upon the approval of refugee status and the transition from shared housing to private accommodations. However, we find no improvements in self-rated health due to legal status but rather deterioration effects due to long-term residence in shared housing.
According to theories of cumulative (dis-)advantage, inequality increases over the life course. Labour market research has seized this argument to explain the increasing economic inequality as people age. However, evidence for cumulative (dis-)advantage in subjective well-being remains ambiguous, and a prominent study from the United States has reported contradictory results. Here, we reconcile research on inequality in subjective well-being with theories of cumulative (dis-)advantage. We argue that the age-specific endogenous selection of the (survey) population results in decreasing inequalities in subjective well-being means whereas individual-level changes show a pattern of cumulative (dis-)advantage. Using repeated cross-sectional data from the European Social Survey (N = 15,252) and employing hierarchical age-period-cohort models, we replicate the finding of decreasing inequality from the United States with the same research design for Germany. Using panel data from the German Socio-Economic Panel Study (persons = 47,683, person-years = 360,306) and employing growth curve models, we show that this pattern of decreasing inequality in subjective well-being means is accompanied by increasing inequality in intra-individual subjective well-being changes. This pattern arises because disadvantaged groups, such as the low educated and individuals with low subjective well-being show lower probabilities of continuing to participate in a survey and because both determinants reinforce each other. In addition to allowing individual changes and attrition processes to be examined, the employed multi-cohort panel data have further key advantages for examining inequality in subjective well-being over the life course: They require weaker assumptions to control for period and cohort effects and make it possible to control for interviewer effects that may influence the results.
A stylized finding on returns to vocational education is that vocational compared to general education generates a differential life course pattern of employability: while vocational education guarantees smooth transitions into the labour market and thus generates initial advantages, these erode with increasing age, leading to late-life reversals in employment chances. We contribute to this research by assessing cohort variations in life-cycle patterns and distinguishing two explanations for late-life reversals in employment chances. The adaptability argument states that this phenomenon is due to the lower adaptability and occupational flexibility of those with vocational education. In contrast, the health argument states that vocational education leads to physically more demanding occupations, faster health deterioration, and, thus, lower employability in later life. Using data from the German Socio-Economic Panel, we employ non-parametric state probability analysis to assess cohort variations in employment patterns, and mediation analysis to assess how much of the late-life reversal of employment patterns is due to a faster health deterioration among the vocationally educated. Results show that the early life advantage of vocational education increases across cohorts. Furthermore, those with vocational education exhibit faster health deterioration, and a small part of the late-life employment disadvantage of this group works through lower levels of health after midlife.
Dropping out of post-secondary education has negative consequences for career progression. However, as human capital theory predicts and as previous studies have shown, having some training still pays off. For a large part of the European workforce who has attended vocational training, however, the theoretical predictions are less clear and empirical studies are scarce. In occupational labour markets, signalling and credentialism theories predict negative effects of dropping out. Furthermore, apprenticeship dropouts learn at different training firms, which differ in their influence on human capital development and the provision of job opportunities. Relying on a unique panel data set from Germany and estimating normalized fixed effects growth curve estimators, our study reveals the following results. First, the timing of dropping out structures career progression, as late dropouts have the highest employment rates and highest wages within the dropout population. However, in an occupational labour market setting, credentials and signals are still highly important for career progression, as the wage advantage of late dropouts within the dropout population is rather small, and late dropouts suffer a wage penalty when we compare their wage profiles to those of graduates. Second, our study emphasizes the importance of training firms, which influence the human capital development of individuals during the course of training and provide dropouts with connections to their first jobs. Thus, in occupational labour markets, the consequences of dropping out depend mainly on different mechanisms, as in other settings.
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