Publikationsliste KOPS

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How do sub-state regions respond to immigration and what drives their policy choices? Combining the cross-national literature on citizenship and integration policy with the literature on immigration federalism, it is hypothesized that sub-state nationalism and multilevel party politics explain why some regions formulate more restrictive immigrant integration policies than others. Analyzing integration laws of German, Italian and Spanish regions demonstrates that socioeconomically inclusive measures dominate, regardless of national context. Where restrictive provisions occur at all, they are associated with minority nationalism and the strength of anti-immigrant parties, while leftist regions facing right-wing national governments tend to adopt a more inclusive policies.

Research has shown that bilinguals can perform similarly, better or poorly on verbal fluency task compared to monolinguals. Verbal fluency data for semantic (animals, fruits and vegetables, and clothing) and letter fluency (F, A, S) were collected from 25 Bengali–English bilinguals and 25 English monolinguals in English. The groups were matched for receptive vocabulary, age, education and non-verbal intelligence. We used a wide range of measures to characterize fluency performance: number of correct, fluency difference score, time-course analysis (1st RT, Sub-RT, initiation, slope), clustering, and switching. Participants completed three executive control measures tapping into inhibitory control, mental-set shifting and working memory. Differences between the groups were significant when executive control demands were higher such as number of correct responses in letter fluency, fluency difference score, Sub-RT, slope and cluster size for letter fluency, such that bilinguals outperform the monolinguals. Stroop performance correlated positively with the slope only for the bilinguals.

This paper studies the effect of oil wealth on the provision of education in the early 20th century United States. Using information on the location and discovery of major oil fields, I find that oil wealth increased local revenue and education spending. However, population increased, and as consequence, schooling quality did not improve across the board. Nominal teacher wages increased, and oil-rich counties were more likely to participate in the Rosenwald school building program for blacks. However, neither student-teacher ratios nor school attendance rates improved in the wake of oil discoveries.

In higher education, across countries, a large share of students choose to study economics. Although there is only a small difference in the share of female and male students in that field, there is robust empirical evidence of a gender gap in economic competencies, showing that male students in most cases outperform female students. There is a broad discussion about the differences in gender-specific socializations that cause this gender gap. However, no research exists on the long-term effects of this gender gap. This study uses longitudinal and representative data of N = 1397 Swiss students (824 female students) to analyse the gender-specific effects of economic competencies at the end of the upper secondary level on their aspiration and decision to study economics. The results show that economic knowledge and interest in economics have a substantially stronger effect on the choice of economics for female students. The aspiration to study strongly mediates these effects. We argue that these results can mainly be traced back to different interests and self-perceptions of skills and abilities in economics caused by gender-specific socialization. Possible implications of gender socialization and discrimination in economics for secondary and higher education and for the labour market are discussed.

Media bias, i.e., slanted news coverage, can strongly impact the public perception of the reported topics. In the social sciences, research over the past decades has developed comprehensive models to describe media bias and effective, yet often manual and thus cumbersome, methods for analysis. In contrast, in computer science fast, automated, and scalable methods are available, but few approaches systematically analyze media bias. The models used to analyze media bias in computer science tend to be simpler compared to models established in the social sciences, and do not necessarily address the most pressing substantial questions, despite technically superior approaches. Computer science research on media bias thus stands to profit from a closer integration of models for the study of media bias developed in the social sciences with automated methods from computer science. This article first establishes a shared conceptual understanding by mapping the state of the art from the social sciences to a framework, which can be targeted by approaches from computer science. Next, we investigate different forms of media bias and review how each form is analyzed in the social sciences. For each form, we then discuss methods from computer science suitable to (semi-)automate the corresponding analysis. Our review suggests that suitable, automated methods from computer science, primarily in the realm of natural language processing, are already available for each of the discussed forms of media bias, opening multiple directions for promising further research in computer science in this area.

Determining how and why adult outcomes of heritage speaker (HS) bilingualism differ from monolinguals is difficult because it requires the reconstruction of developmental paths from end-state data. In an effort to address this issue, we examine HSs of Turkish in Germany at an early age of development (10–15 years old, n = 22), as well as age-matched monolingual controls in Turkey (n = 20) and Germany (n = 20), using a structured elicitation task for production of passives. The goal is to see whether HSs have the representation of passives in their mental grammars and to better understand the relative weight of factors (age at time of testing, immigration status of the Turkish parents (first or second generation), and literacy in the L1) that potentially contribute to the formation of HSs’ grammatical competence. The results show that all HSs have the underlying representation for passives in both Turkish and German. There was a significant effect of only literacy; high level of L1 literacy has a positive effect on monolingual-like production as compared to those with no literacy. We discuss these results pertaining to explicating ultimate attainment outcomes in heritage language acquisition in relation to larger debates in the field.

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With Brexit imminent, the debate on the need for differentiated integration (DI) by means of opting-out has gained new momentum. At the same time, non-member states decide to adopt European Union (EU) rules as exemplified by the European Neighbourhood Policy. In light of these opposing observations, we examine the EU’s disposition to supply DI. We outline the strategic interactions of the EU member states or non-members in the context of two forms of DI: opting-out and inducing-in. In the case of opting-out, EU member states can refrain from adopting EU rules; inducing-in refers to providing non-member states with incentives to adopt EU rules. We show that the information asymmetries inherent to the strategic interactions result in a situation in which the EU is likely to supply opportunities to opt-out for member states to a much greater extent than necessary. Furthermore, the EU is likely to offer more compensation to non-member states in exchange for adopting EU rules than it would actually need to.

Several studies suggest that the extractive industry has negative consequences for gender equality despite the often positive growth impact of natural resources. We re-examine this claim at the sub-state level in sub-Saharan Africa and argue that we need to differentiate between ownership arrangements in the extractive industry. To test our argument on the gender dimension of the resource curse, this article employs unique data on the control rights of minerals within sub-Saharan countries as well as data from Afrobarometer and Demographic and Health Surveys (DHS). Our quantitative analyses explore how international vs. domestic ownership of copper, diamond and gold mines affects the labor market integration of females and intimate partner violence. The regression results suggest in line with our theoretical expectations that gender-specific structural labor market shifts within extractive industries are contingent on mineral control rights. Our models show that within mining areas, only domestic ownership reduces male unemployment. While domestic mining seems to reinforce the traditional male breadwinner model, internationally owned mineral extraction induces structural labor market changes: women abandon subsistence farming activities and migrate to the service sector. Our results further indicate that this shift of traditional gender roles within rural mining areas is associated with less intimate partner violence.