A wide range of strategic and applied skills are essential for writing and publishing high-quality research in scientific outlets and thus for succeeding in this crucial part of any academic career. These skills include choosing a fruitful research topic, deciding on a methodological approach, performing the research, writing up the results, publishing in a scientific journal, and communicating one’s results to the scientific community.
This course trains doctoral students in identifying research questions and formulating a research strategy in the early stages of their research, in structuring and writing a paper, in choosing and submitting to a journal, and in communicating with editors, referees and the scientific community at large. These skills are transferred through a combination of lectures, group discussions, and hands-on work on samples of scientific writing. The lecturers’ experience as authors, re-viewers and editors ensures the success of this course.
In addition to the benefits for journal publications, the course also conveys skills the participants can apply to preparing the exposés for their respective theses. Writing a motivation section and research questions, coming up with well-defined hypotheses, and embedding their own project in the existing literature are all skills which are equally valuable for papers and the exposé.
This course is designed to introduce students to methods for the collection of empirical data in economics and the social sciences. The goal of this course is to enable students to choose the appropriate method for a given data collection task and to apply it in a well-informed manner, in line with the rules of proper and ethical scientific conduct.
The course covers empirical methods of data collection prevalent in economics and the social sciences. This includes quantitative approaches like questionnaires or experiments as well as qualitative methods like interviews and focus groups. In addition, the course covers selected other contemporary methods like, e.g., web scraping or the use of APIs, as well as other important topics when conducting empirical research, like relevant issues in the areas of ethics and statistics.
The course focuses on recent developments in the field of Empirical Banking and Finance. From Asset Pricing, factor models are presented that capture fluctuations in national and international risk premiums. In form of a term paper, participants will replicate highly ranked research from this field. Important market discipline channels and empirical testing strategies are discussed from Banking. From Corporate Finance and Governance comes the central question of how (corporate or risk) governance affects company performance and what challenges empirical tests in this area face. Empirical research in Sustainable Finance, Behavioral Finance and Digital Finance will also be discussed.