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Voting for Votes
(2022)
Scholars frequently expect parties to act strategically in parliament, hoping to affect their electoral fortunes. Voters assumingly assess parties by their activity and vote accordingly. However, the retrospective voting literature looks mostly at the government's outcomes, leaving the opposition understudied. We argue that, for opposition parties, legislative voting constitutes an effective vote-seeking activity as a signaling tool of their attitude toward the government. We suggest that conflictual voting behavior affects voters through two mechanisms: as a signal of opposition valence and as means of ideological differentiation from the government. We present both aggregate- and individual-level analyses, leveraging a dataset of 169 party observations from 10 democracies and linking it to the CSES survey data of 27,371 respondents. The findings provide support for the existence of both mechanisms. Parliamentary conflict on legislative votes has a general positive effect on opposition parties' electoral performance, conditional on systemic and party-specific factors.
As presidents approach the end of their constitutionally defined term in office, they face a number of difficulties, most importantly the deprivation of sources of power, personal enrichment, and protection from prosecution. This leads many of them to attempt to circumvent their term limits. Recent studies explain both the reasons for the extension or full abolition of term limits, and failed attempts to do so. Key explanations include electoral competition and the post-term fate of previous post holders. What we do not know yet is how compliance with term limits may be tied to the current president's expectations for their post-term fate. In particular, we do not know whether leaders who attempt to remove term limits and fail to do so jeopardize their post-term career as a result, and conversely, whether leaders who comply will have better outcomes in terms of security, prestige, and economic gain. Hence, we ask how the decision of a leader to comply or not comply with term limits is conditioned by the expectation of their post-term fate. To address this question, this article introduces new data on the career trajectories of term-limited presidents and its systematic effect on term limit compliance.
The reorganization of governments is crucial for parties to express their policy preferences once they reach office. Yet these activities are not confined to the direct aftermath of general elections or to wide-ranging structural reforms. Instead, governments reorganize and adjust their machinery of government all the time. This paper aims to assess these structural choices with a particular focus at the core of the state, comparing four Western European democracies (Germany, France, the Netherlands, and United Kingdom) from 1980 to 2013. Our empirical analysis shows that stronger shifts in cabinets' ideological profiles in the short- and long-term as well as the units' proximity to political executives yield significant effects. In contrast, Conservative governments, commonly regarded as key promoters of reorganizing governments, are not significant for the likelihood of structural change. We discuss the effects of this politics of government reorganization for different research debates assessing the inner workings of governments.
In this article, we examine the effects of political change on name changes of units within central government ministries. We expect that changes regarding the policy position of a government will cause changes in the names of ministerial units. To this end we formulate hypotheses combining the politics of structural choice and theories of portfolio allocation to examine the effects of political changes at the cabinet level on the names of intra-ministerial units. We constructed a dataset containing more than 17,000 observations on name changes of ministerial units between 1980 and 2013 from the central governments of Germany, the Netherlands, and France. We regress a series of generalized estimating equations (GEE) with population averaging models for binary outcomes. Finding variations across the three political-bureaucratic systems, we overall report positive effects of governmental change and ideological positions on name changes within ministries.
Global Legitimacy Crises
(2022)
Global Legitimacy Crises addresses the consequences of legitimacy in global governance, in particular asking: when and how do legitimacy crises affect international organizations and their capacity to rule. The book starts with a new conceptualization of legitimacy crisis that looks at public challenges from a variety of actors. Based on this conceptualization, it applies a mixed-methods approach to identify and examine legitimacy crises, starting with a quantitative analysis of mass media data on challenges of a sample of 32 IOs. It shows that some, but not all organizations have experienced legitimacy crises, spread over several decades from 1985 to 2020. Following this, the book presents a qualitative study to further examine legitimacy crises of two selected case studies: the WTO and the UNFCCC. Whereas earlier research assumed that legitimacy crises have negative consequences, the book introduces a theoretical framework that privileges the activation inherent in a legitimacy crisis. It holds that this activation may not only harm an IO, but could also strengthen it, in terms of its material, institutional, and decision-making capacity. The following statistical analysis shows that whether a crisis has predominantly negative or positive effects depends on a variety of factors. These include the specific audience whose challenges define a certain crisis, and several institutional properties of the targeted organization. The ensuing in-depth analysis of the WTO and the UNFCCC further reveals how legitimacy crises and both positive and negative consequences are interlinked, and that effects of crises are sometimes even visible beyond the organizational borders.
The demand for learning Design Thinking (DT) as a path towards acquiring 21st-century skills has increased globally in the last decade. Because DT education originated in the Silicon Valley context of the d.school at Stanford, it is important to evaluate how the teaching of the methodology adapts to different cultural contexts.The thesis explores the impact of the socio-cultural context on DT education.
DT institutes in Cape Town, South Africa and Kuala Lumpur, Malaysia, were visited to observe their programs and conduct 22 semistructured interviews with local educators regarding their adaption strategies. Grounded theory methodology was used to develop a model of Socio-Cultural Adaptation of Design Thinking Education that maps these strategies onto five dimensions: Planning, Process, People, Place, and Presentation. Based on this model, a list of recommendations is provided to help DT educators and practitioners in designing and delivering culturally inclusive DT education.
This study examines how public policies affect parents' preferences for a more egalitarian division of paid and unpaid work. Based on the assumption that individuals develop their preferences within a specific policy context, we examine how changes in three policies affect mothers' and fathers' work-family preferences: the availability of high-quality, affordable childcare; the right to return to a full-time job after having reduced hours to part-time and an increase in the number of 'partner months' in parental leave schemes. Analysing a unique probability sample of parents with young children in Germany from 2015 (N = 1756), we find that fathers would want to work slightly fewer hours if they had the right to return to a full-time position after working part-time, and mothers would want to work slightly more hours if childcare opportunities were improved. Full-time working parents, moreover, are found to prefer fewer hours independent of the policy setting, while non-employed parents would like to work at least some hours. Last but not least, our analyses show that increasing the number of partner months in the parental leave scheme considerably increases fathers' preferences for longer and mothers' preferences for shorter leave. Increasing the number of partner months in parental schemes hence has the greatest potential to increase gender equality.
“Broadcast your gender.”
(2022)
Social media platforms provide a large array of behavioral data relevant to social scientific research. However, key information such as sociodemographic characteristics of agents are often missing. This paper aims to compare four methods of classifying social attributes from text. Specifically, we are interested in estimating the gender of German social media creators. By using the example of a random sample of 200 YouTube channels, we compare several classification methods, namely (1) a survey among university staff, (2) a name dictionary method with the World Gender Name Dictionary as a reference list, (3) an algorithmic approach using the website gender-api.com, and (4) a Multinomial Naïve Bayes (MNB) machine learning technique. These different methods identify gender attributes based on YouTube channel names and descriptions in German but are adaptable to other languages. Our contribution will evaluate the share of identifiable channels, accuracy and meaningfulness of classification, as well as limits and benefits of each approach. We aim to address methodological challenges connected to classifying gender attributes for YouTube channels as well as related to reinforcing stereotypes and ethical implications.
“Broadcast your gender.”
(2022)
Social media platforms provide a large array of behavioral data relevant to social scientific research. However, key information such as sociodemographic characteristics of agents are often missing. This paper aims to compare four methods of classifying social attributes from text. Specifically, we are interested in estimating the gender of German social media creators. By using the example of a random sample of 200 YouTube channels, we compare several classification methods, namely (1) a survey among university staff, (2) a name dictionary method with the World Gender Name Dictionary as a reference list, (3) an algorithmic approach using the website gender-api.com, and (4) a Multinomial Naïve Bayes (MNB) machine learning technique. These different methods identify gender attributes based on YouTube channel names and descriptions in German but are adaptable to other languages. Our contribution will evaluate the share of identifiable channels, accuracy and meaningfulness of classification, as well as limits and benefits of each approach. We aim to address methodological challenges connected to classifying gender attributes for YouTube channels as well as related to reinforcing stereotypes and ethical implications.
Is There a Rural Penalty in Language Acquisition? Evidence From Germany's Refugee Allocation Policy
(2022)
Emerging evidence has highlighted the important role of local contexts for integration trajectories of asylum seekers and refugees. Germany's policy of randomly allocating asylum seekers across Germany may advantage some and disadvantage others in terms of opportunities for equal participation in society. This study explores the question whether asylum seekers that have been allocated to rural areas experience disadvantages in terms of language acquisition compared to those allocated to urban areas. We derive testable assumptions using a Directed Acyclic Graph (DAG) which are then tested using large-N survey data (IAB-BAMF-SOEP refugee survey). We find that living in a rural area has no negative total effect on language skills. Further the findings suggest that the “null effect” is the result of two processes which offset each other: while asylum seekers in rural areas have slightly lower access for formal, federally organized language courses, they have more regular exposure to German speakers.