Rutger van Oest obtained both his MSc in Econometrics (cum laude) and PhD in Economics from the Erasmus University Rotterdam. Prior to joining the Department of Marketing at BI, he was an assistant professor at Tilburg University.
Selected publications:
Van Oest, R. (2019). A New Coefficient of Interrater Agreement: The Challenge of Highly Unequal Category Proportions. Psychological Methods, 24 (4), 439-451.
Andreassen, T. W., Van Oest, R. D., & Lervik-Olsen, L. (2018). Customer Inconvenience and Price Compensation: A Multiperiod Approach to Labor-Automation Tradeoffs in Services. Journal of Service Research, 21 (2), 173-183.
Parameter estimation is relatively complicated for models containing correlation matrices, because the elements of correlation matrices are heavily constrained. We put forward a Cholesky-based parametrization that is easy to implement and allows for unconstrained parameter estimation. To compare the new parametrization with the commonly applied spherical parametrization, we use Monte Carlo simulation in which we estimate multivariate distributions containing Gaussian copulas. We show that the new parametrization performs well, in particular as the dimensionality of the multivariate distribution increases, computing times increase, and non-convergence occurs increasingly often.
van Oest, Rutger Daniel (2019)
A New Coefficient of Interrater Agreement: The Challenge of Highly Unequal Category Proportions
We derive a general structure that encompasses important coefficients of interrater agreement such as the S-coefficient, Cohen’s kappa, Scott’s pi, Fleiss’ kappa, Krippendorff’s alpha, and Gwet’s AC1. We show that these coefficients share the same set of assumptions about rater behavior; they only differ in how the unobserved category proportions are estimated. We incorporate Bayesian estimates of the category proportions and propose a new agreement coefficient with uniform prior beliefs. To correct for guessing in the process of item classification, the new coefficient emphasizes equal category probabilities if the observed frequencies are unstable due to a small sample, and the frequencies increasingly shape the coefficient as they become more stable. The proposed coefficient coincides with the S-coefficient for the hypothetical case of zero items; it converges to Scott’s pi, Fleiss’ kappa, and Krippendorff’s alpha as the number of items increases. We use simulation to show that the proposed coefficient is as good as extant coefficients if the category proportions are equal and that it performs better if the category proportions are substantially unequal.
Andreassen, Tor W.; van Oest, Rutger Daniel & Lervik-Olsen, Line (2018)
Customer Inconvenience and Price Compensation: A Multiperiod Approach to Labor-Automation Trade-Offs in Services
Ungureanu, Delia Olga & van Oest, Rutger Daniel (2016)
The Role of Customer Satisfaction and Acquisition Channel in Incentivized Referral Programs
[Academic lecture]. EMAC Conference.
van Oest, Rutger Daniel & Knox, George (2016)
Valuing Customers When Abandonment is Two-Sided: Customer Attrition and the Company's Abandonment Option
[Academic lecture]. EMAC 2016.
Koval, Mariia; Wathne, Kenneth Henning, Hunneman, Auke & van Oest, Rutger Daniel (2016)
Termination of R&D Alliances: The Role of Formal and Informal Governance
[Academic lecture]. Knowledge & Innovation, Cooperative Strategy, and Entrepreneurship Paper Development Workshop at Strategic Management Society Annual Conference.
Koval, Mariia; Wathne, Kenneth Henning, Hunneman, Auke & van Oest, Rutger Daniel (2016)
Termination of R&D Alliances: The Role of Formal and Informal Governance
[Academic lecture]. EMAC 2016 Annual Conference.
Koval, Mariia; Wathne, Kenneth Henning, van Oest, Rutger Daniel & Hunneman, Auke (2015)
Termination of R&D alliances: the role of formal and informal governance
[Academic lecture]. The 6th Israel Strategy Conference.
Koval, Mariia; Wathne, Kenneth Henning, van Oest, Rutger Daniel & Hunneman, Auke (2015)
Termination of R&D alliances: the role of formal and informal governance
[Academic lecture]. SMS Annual International Conference.
Koval, Mariia; Wathne, Kenneth Henning, van Oest, Rutger Daniel & Hunneman, Auke (2015)
The Stability of R&D Alliances: Complementary Role of Formal and Informal Governance
[Academic lecture]. NFB Research School Conference 2015 in Trondheim (Norway).
Lervik-Olsen, Line; van Oest, Rutger Daniel & Peter C., Verhoef (2015)
When is Customer Satisfaction Sticky and when is it Flexible? A Longitudinal Analysis.
[Academic lecture]. Frontiers in Services.
Koval, Mariia; Wathne, Kenneth Henning, van Oest, Rutger Daniel & Hunneman, Auke (2015)
Governing alliance portfolios: alliance termination decisions under relational risks and structural constraints