Data Grant 2021 - Vorstellung der Forschungsprojekte  [21.05.21]

Der wissenschaftliche Beirat des DALAHO kann erfreulicherweise mitteilen, dass alle drei eingegangenen Anträge für den Data Grant 2021 bewilligt werden.

 

Der Data Grant wurde in diesem Jahr zum zweiten Mal vergeben und richtet sich an Forschende, die für ihre Forschungsvorhaben Zugang zu kommerziellen Datenbanken benötigen. Im Folgenden stellen die Forscher:innen ihre Projekte kurz vor:

Prof. Dr. Holger Kahle, Fg. Betriebswirtschaftliche, insbesondere betriebswirtschaftliche Steuerlehre und Prüfungswesen (510B):

„The intended doctoral program deals with digital interfaces between taxpayers and tax authorities in international legal comparison. The interfaces between the tax administration and taxpayers have so far only been partially digitized in Germany. In contrast, other countries have already implemented innovative digitization concepts. Within the framework of comparative law work, the feasibility of these regulatory areas will be examined in terms of European law, constitutional law and tax systematics. If necessary, regulatory proposals for practical implementation are to be developed.“

 

Jun.-Prof. Dr. Franziska Schünemann, Fg. Bioökonomie (520M):

„The GTAP10 database can be used by all research groups to analyze the impacts of policy measures, economic or ecological shocks on global and regional markets employing all kinds of quantitative trade models. The data will be used in several research projects including for example the analysis of bioeconomy policy impacts on global land use and the development of a macroeconomic model of phosphorus scarcity. Moreover, we plan to establish an inter faculty group on “Quantitative Trade Models“ as part of the CSL.“

 

Kylie Ann Braegelmann, Fg. Versicherungswirtschaft und Sozialsysteme (530C):

“My goals in this project are twofold: to measure the gendered narrative content of announcements of newly appointed CEOs and to identify gender biases in financial-market responses to these announcements. In this research I will utilize ExecuComp, which provides comprehensive data on executives in S&P 1500 firms. This research will shed light on the relationship between information and gender bias in financial markets.”


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