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R.M. (Robert) Verschuren MSc

Faculty of Economics and Business
Section Quantitative Economics

Visiting address
  • Roetersstraat 11
  • Room number: E10.07
Postal address
  • Postbus 15867
    1001 NJ Amsterdam
  • Profile


    PhD Candidate, Actuarial Data Science

    Research project

    Predictive Analytics for Multi-Product Policyholder Value

    Research interests

    Econometrics, Statistical Modeling, Machine Learning, Risk Classification, Non-life Insurance
    For more information, visit my personal webpage at:


    Specialized courses in Econometrics, Tinbergen Institute (2017-2018)
    MSc in Econometrics (cum laude), University of Amsterdam (2016-2017)
    BSc in Econometrics & Operations Research (cum laude), University of Amsterdam (2013-2016)


    UvA Thesis Prize (third place), University of Amsterdam, Link to podcast (2018)
    H.K. Nieuwenhuis Thesis Award, University of Amsterdam, Link to pitch (2017)

  • Teaching activities

    Bachelor courses in Econometrics & Actuarial Science

    Life Insurance Mathematics (2020-2021, 2019-2020, 2018-2019)
    Empirical Project (2019-2020)
    Risk Theory (2018-2019)

    Master courses in Econometrics

    Machine Learning for Econometrics (2020-2021)
    Financial Econometrics (2018-2019)

    Thesis supervision

    Master of Science in Actuarial Science & Mathematical Finance (2020-2021)
    Bachelor of Science in Econometrics (2018-2019)

  • Publications




    • Verschuren, R. (2018). Stochastic Interest Rate Modeling. Actuaris, 25(4), 35. [details]


    • Verschuren, R. M. (2017). The Best Player Rule: Impact of Imitation and Memory in Dynamic Cournot Oligopolies. Aenorm, 26(92), 35-43.


    • Verschuren, R. M. (2021). Customer Price Sensitivities in Competitive Automobile Insurance Markets. (pp. 1-30).
    • Verschuren, R. M. (2021). Frequency-Severity Experience Rating based on Latent Markovian Risk Profiles. (pp. 1-26).
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Ancillary activities
    • No ancillary activities