Jonas Hannane received the “Best Paper Award for Junior Scholars” from Faculty VII at TU Berlin for his article “Who Is AI Replacing? The Impact of Generative AI on Online Freelancing Platforms”, published in the journal Management Science in 2025. Congratulations! Jonas was a GC/BSE PhD researcher in the Firms and Markets Department. The award-winning paper was part of his dissertation.
Jonas Hannane erhielt den "Preis für herausragende Forschung" der Fakultät VII an der Technischen Universität Berlin für seinen im Jahr 2025 im Journal Management Science veröffentlichten Beitrag “Who Is AI Replacing? The Impact of Generative AI on Online Freelancing Platforms”. Herzlichen Glückwunsch! Jonas war GC/BSE-Doktorand in der Abteilung Unternehmen und Märkte. Die nun ausgezeichnete Forschungsarbeit ...
Comparisons are crucial in shaping evaluations of one’s own position. Following this notion, we investigated the role of historical, financial, partner, occupational, and regional pay referents in predicting the just gross hourly earnings in a representative sample of German workers. Looking at this broad range of pay referents, we find that higher reference earnings were generally associated with ...
Divorce marks the legal endpoint of a marital union. While divorce is increasingly seen as a ‘clean break’, the past marital history of the couple may nevertheless shape their present conditions. In particular, there may be a legacy of a highly gendered division of labour during marriage that may affect the ex-spouses’ earning trajectories beyond the date of divorce. Using register data from the German ...
This replication revisits an influential contribution on the intergenerational transmission of risk and trust attitudes, which, based on data from the German Socioeconomic Panel (GSOEP), reveals a positive correlation between parents' and children's attitudes. The authors of the original study argue that socialization in the family is important in the transmission process. The replication is motivated ...
While almost all charities rely on a set of donor appreciation strategies, their effectiveness for the success of fundraising campaigns is underresearched. Through two preregistered field studies conducted in collaboration with a leading German opera house (N = 10,000), we explore the significance of expressing gratitude and examine two different approaches to doing so. Our first study investigates ...
We analyze how machine learning predictions may improve antibiotic prescribing in the context of the global health policy challenge of increasing antibiotic resistance. Estimating a binary antibiotic treatment choice model, we find variation in the skill to diagnose bacterial urinary tract infections and in how general practitioners trade off the expected cost of resistance against antibiotic curative ...
