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.
Recent publications
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
Jaeger, G. & Turkensteen, M. (2024). Assessing the effect of multiple cost changes using reverse set tolerances. Discrete Applied Mathematics, 354, 279-300. https://doi.org/10.1016/j.dam.2022.10.018
Marks, K. P., Aalders, J., Liu, S., Broadley, M., Thastum, M., Jensen, M. B., Ibfelt, E. H., Birkebæk, N. H. & Pouwer, F. (2024). Associations between disordered eating behaviors and HbA1c in young people with type 1 diabetes: a systematic review and meta-analysis. Current Diabetes Reviews, 20(4), Article e220823220144 . https://doi.org/10.2174/1573399820666230822095939