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Wirtschafts- und Sozialstatistik
Fakultät Statistik
Studenten im Sommer auf dem Campus Nord, rote Zahnräder im Hintergrund © Roland Baege​/​TU Dortmund
Postdoc

Dr. Jan Prüser

Kontakt

Technische Universität Dortmund
Fakultät Statistik
Lehrstuhl für Wirtschafts- und Sozialstatistik
CDI-Gebäude, Raum 122
44221 Dortmund

E-Mail: prueserstatistik.tu-dortmundde
Tel.: +49 231 755 5528

Persönliche Seite

Porträtfoto von Jan Prüser © Felix Schmale​/​TU Dortmund
  • seit März 2020: Postdoc und Wissenschaftlicher Mitarbeiter
  • 2018-2020: Berater Data Analytics, CP Consultingpartner AG
  • 2015-2018: Promotion an der Universität Duisburg-Essen
  • Bayesian Econometrics
  • Empirical Macroeconomics
  • Forecasting
  • Machine Learning
  • Prüser, J. (2022). "Data-Based Priors for Vector Error Correction Models," International Journal of Forecasting,
    Forthcoming.
  • 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. and 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, 241(4), 501-525.
  • Prüser, J. and Schlösser, A. (2020). "On the time-varying Effects of Economic Policy Uncertainty on the
    US Economy," Oxford Bulletin of Economics and Statistics, 82(5), 1217–1237.
  • Prüser, J. (2020). "Forecasting US inflation using Markov Dimension Switching," Journal of Forecasting,
    40(3), 481–499.
  • Prüser, J. and Schlösser, A. (2020). "The Effects of Economic Policy Uncertainty on European Economies:
    Evidence from a TVP-FAVAR," Empirical Economics, 58, 2889–2910.
  • 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. (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.
  • 53th Jahrestagung – Statistische Woche, Germany 09/2022
  • 42th International Symposium on Forecasting Oxford, England 7/2022
  • 21th IWH-CIREQ-GW MacroeconometricWorkshop: Forecasting and Uncertainty Halle, Germany 12/2020
  • 12th Annual Bayesian Econometrics Workshop Rimini, Italy 06/2018
  • 11th RGS Doctoral Conference in Economics Essen, Germany 02/2018
  • 10th International Conference on Computational and Methodological Statistics London, England 12/2017
  • 8th European Seminar on Bayesian Econometrics Maastricht, Neatherlands 10/2017
  • 7th European Seminar on Bayesian Econometrics Venice, Italy 10/2016
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