Econometrics and Business Analytics
Welcome to the Econometrics and Business Analytics section. Overall, the section conducts research within the fields of business analytics, business intelligence and econometrics.
Our focus on business intelligence, econometrics, and operations management is supported by a team of 40 faculty members and 15 PhD students. We run two research seminars: One in business statistics and econometrics, and another in operations research and logistics. We collaborate closely within our group and with the international research community.
The section hosts the DNFR Chair in Econometrics
Recent publications
Clausen, J., Li, H. & Forget, N. J. (2025). Empirical risk minimization for big data driven prescriptive analytics: An exploration of two-stage stochastic programs with recourse. Expert Systems with Applications, 261, Article 125503. https://doi.org/10.1016/j.eswa.2024.125503
Belenguer, J. M., Cubillos, M. & Wøhlk, S. (2024). A branch-and-cut algorithm for a skip pick-up and delivery problem. Computers and Operations Research, 168, Article 106705. https://doi.org/10.1016/j.cor.2024.106705
Marand, A. J. & Hoseinpour, P. (2024). A congested facility location problem with strategic customers. European Journal of Operational Research, 318(2), 442-456. https://doi.org/10.1016/j.ejor.2024.05.026
Ma, Q. & Li, H. J. (2024). A decision support system for supplier quality evaluation based on MCDM-aggregation and machine learning. Expert Systems with Applications, 242, Article 122746. https://doi.org/10.1016/j.eswa.2023.122746
Bai, Y., Li, H. & Gu, M. (2024). Advance selling policies with stochastic consumer valuations and advertising effects: dynamic pricing and inventory decisions. International Journal of Production Economics, 277, Article 109401. https://doi.org/10.1016/j.ijpe.2024.109401
Wei, C., Wøhlk, S. & Che, A. (2024). A multi-level capacitated arc routing problem with intermediate facilities in waste collection. Computers and Operations Research, 167, Article 106671. https://doi.org/10.1016/j.cor.2024.106671
Christensen, K. & Kolokolov, A. (2024). An unbounded intensity model for point processes. Journal of Econometrics, 244(1), Article 105840. https://doi.org/10.1016/j.jeconom.2024.105840
Bennedsen, M., Hillebrand, E. & Koopman, S. J. (2024). A regression-based approach to the CO2 airborne fraction. Nature Communications, 15(1), Article 8507. https://doi.org/10.1038/s41467-024-52728-1
