Econometrics and Business Analytics
Welcome to the Econometrics and Business Analytics section. Overall, the section conducts research within the fields of business intelligence, econometrics, operations management and operations research.
Our research and teaching is undertaken by a team of 40 faculty members and 15 PhD students. We foster close collaboration within our section and with the international research community. Our research activities are supported by seminar series in business analytics and econometrics.
The section hosts Aarhus Center for Econometrics (ACE), which is designated as a centre of excellence in econometrics.
Recent publications
Christensen, K., Timmermann, A. & Veliyev, B. (2025). Warp speed price moves: Jumps after earnings announcements. Journal of Financial Economics, 167, Article 104010. https://doi.org/10.1016/j.jfineco.2025.104010
Belenguer, J. M., Cubillos, M. & Wøhlk, S. (2024). A branch-and-cut algorithm for a skip pick-up and delivery problem. Computers & 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 & 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