Statistik: mehr als Erbsen zählen

Sie sind hier:

Dr. Jan Prüser

Wirtschafts- und Sozialstatistik


Raum 122
0231 755 - 7925
Fakultät Statistik
Technische Universität Dortmund
44221 Dortmund


nach Vereinbarung


Aktuelle Einreichungen

Prüser, J. (2020). "Data-Based Priors for Vector Error Correction Models".

Prüser, J. (2020). "A global-local prior for time-varying parameter VARs and Monetary Policy".

Prüser, J. and Schmidt, T. (2020). "The Regional Composition of National House Price Cycles in the US". 

Hanck, C. and Prüser J. (2020). "A comparison of approaches to select the informativeness of priors in BVARs".



Prüser, J. and Schlösser, A. (2020). "On the time-varying Effects of Economic Policy Uncertainty on the US Economy". Akzeptiert in Oxford Bulletin of Economics and Statistics.

Prüser, J. (2020). "Forecasting US inflation using Markov Dimension Switching". Akzeptiert in Journal of Forecasting

Hanck, C. and Prüser J. (2020). "House Prices and Interest Rates - Bayesian Evidence from Germany". Applied Economics, 52(28), 3073-3089.

Prüser, J. (2019). "Forecasting with many predictors using Bayesian Additive Regression Trees". Journal of Forecasting, 38(7), 621-631.

Prüser, J. and Schlösser, A. (2019). "The Effects of Economic Policy Uncertainty on European Economies: Evidence from a TVP-FAVAR". Empirical Economics, 58, 2889-2910.

Prüser, J. (2018). "Adaptive Learning from Model Space". Journal of Forecasting, 38(1), 29-38.

Czudaj, R. and Prüser J. (2015). "International parity relationships between Germany and the USA revisited: evidence from the post-DM period". Applied Economics, 47(26), 2745-2767.