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.

11 Mar

Wednesday 11 March 2026, at 12:15 Universitetsbyen 51, Building 1816, room 613

Title: The information matrix test for Markov switching autoregressive models with covariate-dependent transition probabilities

18 Mar

Wednesday 18 March 2026, at 13:00 Universitetsbyen 51, Building 1814, Room 151

Title: Solving block–structured Integer programs with soft coupling constraint using Multi–Objectivization

All seminars in this section

Centre of Excellence

Aarhus Center for Econometrics – ACE

ACE is a Centre of Excellence funded by the Danish National Research Foundation. The centre will gather the world's leading econometricians.

Recent publications

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Wu, D., Ding, H., Cheng, Y., Li, H. J., Wang, W. & Sun, Q. (2026). Carbon tax, renewable portfolio Standards, or both? Evaluating policy effectiveness in promoting renewable energy and reducing emissions. Environment, Development and Sustainability. Advance online publication. https://doi.org/10.1007/s10668-025-07203-2

Agersnap, T. N., Lomholt, J. J., Jensen, M. B. & Thastum, M. (2026). Comparison of Disorder-Specific Group CBT and Generic Group CBT in Treating Adolescents with Social Anxiety Disorder: A Randomized Controlled Trial. Research on Child and Adolescent Psychopathology, 54, Article 27. https://doi.org/10.1007/s10802-025-01412-z

Wurtz, A. & Bennedsen, M. (2026). Cornerstones in Quantitative Empirical Methods: Volume 1: Foundations. (1 ed.) Chapman & Hall/CRC Press . https://doi.org/10.1201/9781003591191

Jäger, G. & Turkensteen, M. (2026). Extending the definition of single and set tolerances. Operations Research Letters, 65, Article 107407. https://doi.org/10.1016/j.orl.2026.107407

Lyngesen, M., Gadegaard, S. L. & Relund, L. (2026). Generator sets for the Minkowski sum problem. European Journal of Operational Research, 328(3), 912-924. https://doi.org/10.1016/j.ejor.2025.07.005

Horak, S., Tudoran, A. A. & Ahlstrom, D. (2026). Human–machine collaboration and AI-augmented coding across cultures: a process model. European Journal of International Management, 28(1), 1-23. https://doi.org/10.1504/EJIM.2026.150396

Hillebrand, E. & Griffiths, W. (2026). Introduction. In E. Hillebrand & W. Griffiths (Eds.), Teaching econometrics: A tribute to R. Carter Hill (pp. 1-9). Springer. https://doi.org/10.1007/978-3-031-97942-2_1

Hemmati, M., Fatemi Ghomi, S. M. T. & Li, H. (2026). Pricing and Bundling Decisions for Complementary Products in an Agency Selling Platform with Risk-averse Suppliers and Stochastic Demand. International Transactions in Operational Research, 33(2), 1323-1361. https://doi.org/10.1111/itor.13557

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