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 and will host Aarhus Center for Econometrics when it opens in 2025.
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Recent publications
Emde, S. & Tudoran, A. A. (2025). The first mile is the hardest: A deep learning-assisted matheuristic for container assignment in first-mile logistics. European Journal of Operational Research, 324(1), 335-350. https://doi.org/10.1016/j.ejor.2025.01.024
Turkensteen, M. & van den Heuvel, W. (2025). Uncapacitated multi-item lot sizing with shipment minimization. Computers and Operations Research, 183, Article 107169. https://doi.org/10.1016/j.cor.2025.107169
Chernozhukov, V., Huang, C. & Wang, W. (2025). Uniform Inference on High-dimensional Spatial Panel Networks. Journal of Business and Economic Statistics. Advance online publication. https://doi.org/10.1080/07350015.2025.2530122
Clausen, J. & Larsen, C. (2025). Using an iterative procedure of maximum likelihood estimations to solve the newsvendor problem with censored demand. Omega, 133(103273), Article 103273. https://doi.org/10.1016/j.omega.2024.103273
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 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