300 Sozialwissenschaften
Refine
Year of publication
Document Type
- Article (340)
- Monograph/Edited Volume (115)
- Doctoral Thesis (96)
- Postprint (67)
- Part of a Book (36)
- Master's Thesis (16)
- Other (13)
- Report (11)
- Review (8)
- Bachelor Thesis (4)
Keywords
- Lehrevaluation (37)
- Curriculum Framework (36)
- European values education (36)
- Europäische Werteerziehung (36)
- Studierendenaustausch (36)
- Unterrichtseinheiten (36)
- curriculum framework (36)
- lesson evaluation (36)
- student exchange (36)
- teaching units (36)
Institute
- Sozialwissenschaften (262)
- Institut für Umweltwissenschaften und Geographie (89)
- Fachgruppe Politik- & Verwaltungswissenschaft (70)
- Extern (64)
- Fachgruppe Soziologie (57)
- Wirtschaftswissenschaften (29)
- Wirtschafts- und Sozialwissenschaftliche Fakultät (21)
- Zentrum für Sprachen und Schlüsselkompetenzen (Zessko) (18)
- Fachgruppe Betriebswirtschaftslehre (16)
- Fachgruppe Volkswirtschaftslehre (15)
Across continental Europe, educational research samples are often divided by 'migrant background', a binary variable criticized for masking participant heterogeneity and reinforcing exclusionary norms of belonging.
This study endorses more meaningful, representative, and precise research by offering four guiding questions for selecting relevant, social justice oriented, and feasible social categories for collecting and analysing data in psychological and educational research. Using a preregistered empirical example, we first compare selected social categories ('migrant background', family heritage, religion, citizenship, cultural identification, and generation status) in their potential to reveal participant heterogeneity.
Second, we investigate differences in means and relations between variables (discrimination experiences, perceived societal Islamophobia, and national identity) and academic motivation among 1335 adolescents in Germany (48% female, M-age = 14.69). Regression analyses and multigroup SEM revealed differential experiences with and implications of discrimination for academic motivation.
Results highlight the need for a deliberate, transparent use of social categories to make discrimination visible and centre participants' subjective experiences.
This paper sheds new light on the role of communication for cartel formation. Using machine learning to evaluate free-form chat communication among firms in a laboratory experiment, we identify typical communication patterns for both explicit cartel formation and indirect attempts to collude tacitly. We document that firms are less likely to communicate explicitly about price fixing and more likely to use indirect messages when sanctioning institutions are present. This effect of sanctions on communication reinforces the direct cartel-deterring effect of sanctions as collusion is more difficult to reach and sustain without an explicit agreement. Indirect messages have no, or even a negative, effect on prices.
COVID-19
(2021)
We investigate how the economic consequences of the pandemic and the government-mandated measures to contain its spread affect the self-employed — particularly women — in Germany. For our analysis, we use representative, real-time survey data in which respondents were asked about their situation during the COVID-19 pandemic. Our findings indicate that among the self-employed, who generally face a higher likelihood of income losses due to COVID-19 than employees, women are about one-third more likely to experience income losses than their male counterparts. We do not find a comparable gender gap among employees. Our results further suggest that the gender gap among the self-employed is largely explained by the fact that women disproportionately work in industries that are more severely affected by the COVID-19 pandemic. Our analysis of potential mechanisms reveals that women are significantly more likely to be impacted by government-imposed restrictions, e.g., the regulation of opening hours. We conclude that future policy measures intending to mitigate the consequences of such shocks should account for this considerable variation in economic hardship.
Previous literature has shown that task-based goal-setting and distributed learning is beneficial to university-level course performance. We investigate the effects of making these insights salient to students by sending out goal-setting prompts in a blended learning environment with bi-weekly quizzes. The randomized field experiment in a large mandatory economics course shows promising results: the treated students outperform the control group. They are 18.8% (0.20 SD) more likely to pass the exam and earn 6.7% (0.19 SD) more points on the exam. While we cannot causally disentangle the effects of goal-setting from the prompt sent, we observe that treated students use the online learning platform earlier in the semester and attempt more online exercises compared to the control group. The heterogeneity analysis suggests that higher treatment effects are associated with low performance at the beginning of the course.
In the past years, work-time in many industries has become more flexible, opening up a new channel for intertemporal substitution: workers might, instead of saving, adjust their work-time to smooth consumption. To study this channel, we set up a two-period consumption/saving model with wage uncertainty. This extends the standard saving model by also allowing a worker to allocate a fixed time budget between two work-shifts. To test the comparative statics implied by these two different channels, we conduct a laboratory experiment. A novel feature of our experiments is that we tie income to a real-effort style task. In four treatments, we turn on and off the two channels for consumption smoothing: saving and time allocation. Our main finding is that savings are strictly positive for at least 85 percent of subjects. We find that a majority of subjects also uses time allocation to smooth consumption and use saving and time shifting as substitutes, though not perfect substitutes. Part of the observed heterogeneity of precautionary behavior can be explained by risk preferences and motivations different from expected utility maximization. (c) 2021 Elsevier B.V. All rights reserved.
Using data from the German Socio-Economic Panel and exploiting the staggered implementation of a compulsory schooling reform in West Germany, this article finds that an additional year of schooling lowers the probability of being very concerned about immigration to Germany by around six percentage points (20 percent). Furthermore, our findings imply significant spillovers from maternal education to immigration attitudes of her offspring. While we find no evidence for returns to education within a range of labor market outcomes, higher social trust appears to be an important mechanism behind our findings.
House price expectations
(2023)
This study examines short-, medium-, and long-run price expectations in housing markets. At the heart of our analysis is the combination of data from a tailored in-person household survey, past sale offerings, satellite imagery on developable land, and an information treatment (RCT). As novel finding, we show that price expectations show no evidence for momentum-effects in the long run. We also do not find much evidence for behavioural biases in expectations related to individual housing tenure decisions. Confirming existing findings, we find momentum-effects in the short-run and that individuals, to a limited extend, use aggregate price information to update local expectations. Lastly, we provide suggestive evidence corroborating existing findings that expectations are relevant for portfolio choice.
This study is dedicated to the interdependencies between digital sovereignty and sustainable digitalization, which need to be explicitly linked to an increasing degree in political discourse, academia, and societal debates. Digital skills are the prerequisites for shaping digitalization in the interest of society and sustainable development.
Damit die EU ihre ambitionierten Klimaschutzziele erreichen kann, werden die Preise für Treibhausgasemissionen in den nächsten Jahren spürbar steigen. Das hat ökonomische Auswirkungen für die EU-Mitgliedsländer, aber auch den Rest der Welt. Einzelne Sektoren und auch Volkswirtschaften werden davon unterschiedlich stark getroffen.
Worth the pain?
(2021)
How do exporting firms react to sanctions? Specifically, which firms are willing — or capable — to serve the market of a sanctioned country? We investigate this question for four sanctions episodes using monthly data on the universe of French exporting firms. We draw on recent econometric advances in the estimation of dynamic fixed effects binary choice models. We find that the introduction of new sanctions in Iran and Russia significantly lowered firm-level probabilities of serving these sanctioned markets, while the (temporary) lifting of the U.S. sanctions on Cuba and the removal of sanctions against Myanmar had no or only small trade-inducing effects, respectively. Additionally, the impact of sanctions is very heterogeneous along firm dimensions and by case particularities. Firms that depend more on trade finance instruments are more strongly affected, while prior experience in the sanctioned country considerably softens the blow of sanctions, and firms can be partly immune to the sanctions effect if they are specialized in serving “crisis countries”. Finally, we find suggestive evidence for sanctions avoidance by exporting indirectly via neighboring countries.