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Statistik: mehr als Erbsen zählen

Sie sind hier:

Dr. Jan Prüser

Wirtschafts- und Sozialstatistik

Kontakt

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


Persönliche Website

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Publikationen

Prüser, J. (2021). "Data-Based Priors for Vector Error Correction Models,". Akzeptiert in: International Journal of Forecasting.

Prüser, J. (2021). "The horseshoe prior for time-varying parameter VARs and Monetary Policy,". Journal of Economic Dynamics and Control, 129, 104–188.

Prüser, J. und Schmidt, T. (2021). "The Regional Composition of National House Price Cycles in the US".  Regional Science and Urban Economics, 87, 103–645.

Hanck, C. and Prüser J. (2021). "A comparison of approaches to select the informativeness of priors in BVARs," Journal of Economics and Statistics.

Prüser, J. und Schlösser, A. (2020). "On the time-varying Effects of Economic Policy Uncertainty on the US Economy". In: Oxford Bulletin of Economics and Statistics, 82(5), 1217-1237.

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

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