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Insider, outsider, or both? Explaining discrepancies within differentiation in the European Union
Get PDFEssays in applied econometrics
Get PDFThis dissertation develops and employs quantitative methods to causally answer three empirically motivated questions. Chapter 1 investigates how appointing a female professor through affirmative action affects universities' hiring decisions and gender attitudes. Chapter 2 examines the impact of restricted access to scientific knowledge on the production and dissemination of new research, leveraging the quasi-natural experiment created by the rise of Sci-Hub. Chapter 3 evaluates how media coverage of corruption scandals affects the behavior of public healthcare workers
The Devil's in the details: The tradeoff between detail and abandonment in online review creation
No full textA considerable number of online review platforms have adopted detailed formats for review creation, given that detailed reviews are often perceived as more informative and helpful. However, we study the tradeoff between the level of detail requested by the platform (e.g., more items in the process of reviewing) and abandonment (i.e., users started, but did not finish). Using a multimethod approach—including proprietary data, surveys, and a field study — we demonstrate that while detailed formats can enhance the depth of individual reviews, they also crowd out negativity and amplify the positivity bias. We find that only one in six initiated review processes is completed, and that negative reviews are 65% more likely to be abandoned than positive ones. Key factors influencing abandonment include perceived effort and customer data vulnerability. A field study further confirms that greater review detail is significantly correlated with abandonment rates. We conclude that to manage review volume, reliability, and detail, platforms and firms should consider streamlining review formats or providing both short and long options, while consumers should be aware of the tradeoff when reading user-generated content
Essays in banking and financial economics
Get PDFIn this dissertation, I contribute to the field of empirical banking and financial market structure. I focus on how financial institutions and markets respond to external shocks—whether monetary, macroprudential, behavioral, or environmental—and the implications for credit allocation and asset prices. Across the chapters, I combine structural modeling, highfrequency identification strategies, novel data collection, and advanced textual analysis to uncover causal relationships and deepen our understanding of the mechanisms that shape
bank behavior and financial markets under different constraints and incentives
Building minds with blocks: The impact of a play-based professional development on preschool teachers’ competencies and children’s learning
Get PDFThe study examined the impact of Professional Development (PD) on preschool teachers’ content knowledge (CK), pedagogical content knowledge (PCK), and scaffolding practice. In a pre-post-follow-up design, 77 teachers were assigned to three groups (EG1: block play curriculum materials + PD, EG2: block-play curriculum materials, CG: no materials). Results showed improvements in teachers’ scaffolding after the PD, but no changes in CK or PCK. The use of block-play curriculum materials and scaffolding was associated with an improvement in children’s math knowledge, but not with their stability knowledge. The study highlights the need for practice-oriented PD aligned with preschool teachers’ everyday practice
The Zweitstimme forecast for the German Federal Election 2025: Coalition majorities and vacant districts
No full textIn this article, we provide a forecast for the German Federal Election of 2025. We use our previous forecasting models to provide national-level forecasts for party vote shares and district-level outcomes for candidate votes. We show that the combination of both permits us to calculate both forecasts for coalition majorities in parliament, and “vacant districts” under the recent electoral reforms
Youth, the new adolescence: A challenge and a window of opportunity for early mental health interventions
Get PDFStar wars: An empirical study of star performer turnover and content supply on multisided streaming platforms
Get PDFCompetition between user-generated content platforms (e.g., Twitch, Spotify, YouTube) is characterized by fierce talent poaching of highly popular “stars” on the supply side. However, little is known about how the loss of a star affects content production from former co-creating peers on multi-sided content platforms. While theory suggests that star turnovers might decrease the demand for co-creating peers, or trigger them to depart the platform as well, empirical understanding is still lacking. To address this gap, we examine the defection of Fortnite star Richard Tyler “Ninja” Blevins from Twitch.tv to Microsoft Mixer in 2019 using a quasi-experimental research design and novel streamer-level data. Findings are four-fold. First, the turnover of a star decreases peer creators’ content contribution by -20.4%, suggesting the departure of a star contracts supply for the platform overall. Second, the negative star turnover effect on content contribution is lesser for creators who have a diversified content portfolio and are relatively more popular. Third, evidence suggests that the overall negative effect operates through a downsizing rather than desertion mechanism, (i.e., remaining creators reduce their contribution rather than abandoning the platform entirely). Finally, creators experiment with shifting their focus to other types of content, but eventually abandon these efforts. We conclude that star turnover can cause both primary and spillover losses in content supplied to a platform. Our findings have implications for platform management, the content strategy of creators, and for our understanding of stars’ influence on multi-sided content platforms
