Philipp Aschersleben, M. Sc.

Department of Marketing
Julius-Albert-Str. 2
38678 Clausthal-Zellerfeld
Room: 201

Phone: +49 (5323) 72 - 7663

E-mail: philipp.aschersleben@tu-clausthal.de

Office hours: by appointment

    Publications, lectures and presentations

    • Aschersleben, P., Steiner, W.
      Dynamic pricing using flexible heterogeneous sales response models.
      Submitted.
      Aschersleben, P., Steiner, W.
      A semiparametric approach to estimating reference price effects in sales response models.
      Journal of Business Economics, 92(4), 2022, 591-643. (Download)
    • Aschersleben, P., Wagner, M., and Wied, D.: Monitoring Euro Area Real Exchange Rates; In: Steland, A., Rafajłowicz, E. and Szajowski, K. (eds.): Stochastic Models, Statistics and Their Applications, volume 122 of Springer Proceedings in Mathematics & Statistics, pp. 363-370. Springer International Publishing, 2015.(Download)
    • Aschersleben, P., Wagner, M. and Wied, D.: cointmonitoR: Consistent Monitoring of Stationarity and Cointegrating Relationships. R package.(Download)
      Aschersleben, P., and Wagner, M.: cointReg: Parameter Estimation and Inference in a Cointegrating Regression. R package.(Download)
    • Accounting for nonlinear, heterogeneous, and dynamic effects in store-level price response models 1st Working Group Meeting of AG Marketing, Karlsruhe, 11/2019
      Accommodating nonlinearities and dynamics in store-level price response models 30th European Conference on Operational Research, Dublin, 06/2019

    Other

    • SS 2021Exercise "Marketing"
      WS 2020Exercise "Market Research Part 2 (Marktforschung Teil 2)"
      SS 2020Exercise "Marketing Part 1 (Marketing Teil 1)"
      WS 2019Seminar "Multivariate Data Analysis with SPSS (Multivariate Datenanalyse mit SPSS)", Exercise "Market Research Part 2 (Marktforschung Teil 2)"
      SS 2019Exercise "Marketing Part 1 (Marketing Teil 1)"
      WS 2018Exercise "Market Research Part 2 (Marktforschung Teil 2)"
      SS 2018Seminar on Multivariate Methods in Market Research (Multivariate Methoden in der Marktforschung)
      WS 2017Repetitorium "Marketing"