This seminar is designed for advanced Master and Ph.D. students who wish to deepen their knowledge of managerial and personnel economics. It focuses on the behavioral, experimental, and empirical research of the effects of organizational practices (e.g., leadership, hierarchies, communication, corporate culture, new forms of work) on employee behavior and productivity.
Participants are expected to develop their own research questions, critically review existing academic literature on the research question of their choice, conceptualize a study, collect data, and analyze it. Participants present results of their research during the block seminar days. Additionally, they write a research paper where they elaborate on the conducted research.
The choice of research methods should focus on the identification of causal relationships (e.g.: experiments, vignette studies, empirical causal analysis). Solid understanding of statistical methods and knowledge of statistical software (R, Stata, Python, Excel) may be highly beneficial.
The agenda for the block days includes three parts: First, participants will present their topic(s), research question, study design, data and first analyses. Then, they expand their analyses by working together with other groups during a one-day hackathon. On the last block day, participants present their updated and deepened results by incorporating the received feedback.
The format of the seminar relies on the vivid exchange of ideas and thoughts among participants in the form of discussions and presentations during the block days. Therefore, the participants must attend all block days, actively participate in group discussions and hackathon, and present their ideas to the group.
At the end of the semester, students submit a research paper summarizing and discussing their study and results.
All participants are encouraged to work in groups and provide feedback to each other (especially if their research questions are related). However, the term paper includes individual efforts.
- Kursverantwortliche/r: Anastasia Danilov