Personal

Principal Investigator (DFG Research Fund):
Identification and Estimation of DSGE models:
Skewness matters

Institute for Econometrics and Economic Statistics
University of Münster 

Temporary position (W3)
Institute for Econometrics and Economic Statistics
University of Münster 

Econometrics and Statistics
TU Dortmund

Fiscal Policies Division
European Central Bank

Institute for Econometrics and Economic Statistics
University of Münster 

Computational Statististcs and Data Analysis
Economic Modelling
Journal of Economic Dynamics and Control
The B.E. Journal of Macroeconomics

CFEnetwork, Deutscher Hochschulverband, Deutsche Statistische Gesellschaft, Econometric Society, Verein für Socialpolitik

Dynare Commit

Center for Quantitative Economics
University of Münster 

Sonderforschungsbereich 823: Statistical modelling of nonlinear dynamic processes
Project A4: Asset pricing and macroeconomic allocations under aggregate risk
TU Dortmund

Center for Quantitative Economics
University of Münster 

11/2015

University of Münster
Committee: Prof. Dr. Mark Trede (Supervisor), Prof. Dr. Bernd Kempa, Prof. Dr. Nicole Branger
Dissertation: Local identification of nonlinear and non-Gaussian DSGE models
Awarded as the best dissertation of the academic year by the economics department of the University Münster

University of Münster
Master thesis: Analyse, Lösung und Schätzung von DSGE Modellen: Ein Vergleich der Methoden
Best student award

University of Bonn
Bachelor thesis: Finanzökonomische Aspekte des Wirtschaftswachstums

Bayesian Econometrics and MCMC (Master and PhD level)
DSGE Models (Master level)
Econometrics (Bachelor level)
General Method of Moments (GMM), Indirect Inference and Bootstrap (Master level)
Introduction to R (Master level)
Macroeconomics (Bachelor and PhD level)
Macroeconometrics (Master and PhD level)
Multivariate Time Series Analysis (Master level)
Sampling techniques (Master level)
Statistics (Bachelor level)