Dr. Till Massing

Academic Staff

Dr. Till Massing

R12 R06 A42
+49 201 18-36856
+49 201 18-33995
Consultation Hour:
Thu 10-12 or by agreement
University of Duisburg-Essen, Campus Essen
Department of Economics
Chair for Econometrics
D-45117 Essen

Fields of Research:

  • Statistical Inference for Lévy Processes
  • E-Assessment in Statistics


  • Employee in the project "Professionalisierung für Vielfalt (ProViel) – BMBF Qualitätsoffensive Lehrerbildung: Quantitative Methodenkompetenzen"


  • Massing, T.; Ramos, A.: Student's t mixture models for stock indices. A comparative study. In: Physica A: Statistical Mechanics and its Applications (2021). doi:https://doi.org/10.1016/j.physa.2021.126143CitationDetails
  • Massing, T.; Reckmann, N.; Blasberg, A.; Otto, B.; Hanck, C.; Goedicke, M.: When is the Best Time to Learn? - Evidence from an Introductory Statistics Course. In: Open Education Studies, Vol 3 (2021) No 1, p. 84-95. doi: https://doi.org/10.1515/edu-2020-0144CitationDetails
  • Massing, T.: Clustering Using Student t Mixture Copulas. In: SN Computer Science (2021). doi:https://doi.org/10.1007/s42979-021-00503-0CitationDetails
  • Massing, T.; Puente-Ajovín, M.; Ramos, A.: On the parametric description of log-growth rates of cities’ sizes of four European countries and the USA. In: Physica A: Statistical Mechanics and its Applications (2020). doi:10.1016/j.physa.2020.124587CitationDetails
  • Massing, T.: What is the best Lévy model for stock indices? A comparative study with a view to time consistency. In: Financial Markets and Portfolio Management, Vol 33 (2019) No 3, p. 277-344. doi:10.1007/s11408-019-00335-2CitationDetails
  • Massing, T.: Local asymptotic normality for Student-Lévy processes under high-frequency sampling. In: Statistics, Vol 53 (2019) No 4, p. 721-752. doi:10.1080/02331888.2019.1618856Full textCitationDetails
  • Massing, T.: Stochastic Properties of Student-Lévy Processes with Applications (1). 2019. doi:10.17185/duepublico/70020Full textCitationDetails
  • Massing, T.; Schwinning, N.; Striewe, M.; Hanck, C.; Goedicke, M.: E-Assessment Using Variable-Content Exercises in Mathematical Statistics. In: Journal of Statistics Education, Vol 2018 (2018) No 26-3, p. 174-189. doi:10.1080/10691898.2018.1518121Full textCitationDetails
  • Massing, T.: Simulation of Student–Lévy processes using series representations. In: Computational Statistics, Vol 33 (2018) No 4, p. 1649-1685. doi:10.1007/s00180-018-0814-y Full textCitationDetails
  • Massing, T.; Reckmann, N.; Otto, B.; Hermann, K.; Hanck, C.; Goedicke, M.: Klausurprognose mit Hilfe von E-Assessment-Nutzerdaten. In: DeLFI 2018 - Die 16. E-Learning Fachtagung Informatik (2018) No 284, p. 171-176. CitationDetails
  • Otto, B.; Massing, T.; Schwinning, N.; Reckmann, N.; Blasberg, A.; Schumann, S.; Hanck, C.; Goedicke, M.: Evaluation einer Statistiklehrveranstaltung mit dem JACK R-Modul. In: DeLFI 2017 - Die 15. E-Learning Fachtagung Informatik, Volume 273 of Lecture Notes in Informatics (2017), p. 75-86. CitationDetails
  • Schwinning, N.; Striewe, M.; Massing, T.; Hanck, C.; Goedicke, M.: Towards digitalisation of summative and formative assessments in academic teaching of statistics. In: Proceedings of the Fifth International Conference on Learning and Teaching in Computing and Engineering (LaTiCE 2017) (2017). CitationDetails


  • Massing, T.: Local asymptotic normality for Student-Lévy processes under high-frequency sampling, The 40th Conference on Stochastic Processes and their Applications (SPA) 2018, 11.06.2018, Göteborg.
  • Massing, T.: Simulation of Student-Lévy Processes Using Series Representations, MCM 2017: International Conference on Monte Carlo Methods and Applications, 04.07.2017, Montréal.


  • Descriptive Statistics
  • Inferential Statistics
  • Methods of Econometrics
  • Time Series Analysis
  • Advanced Econometrics (Nonparametric Econometrics)

How you can find us:

Faculty of Business Administration and Economics
Chair of Econometrics
Prof. Dr. Christoph Hanck
Universitätsstraße 12
DE - 45117 Essen