Our research is empirical and quantitative in nature thus providing the foundation for what is nowadays called “evidence-based” policy advice. Typically, we use econometric techniques such as time-series or panel-data models to uncover causal relations between macroeconomic and/or financial market data. More specifically, we employ Vector-Autoregressions, Local-Projections techniques, or Dynamic Stochastic General Equilibrium approaches to model structural relations in the economy. In recent work, we increasingly make use of survey data of households and firms as well as of other microeconomic data such as financial statements of firms.

For an overview of publications or recent working papers of our team, please click here.