Teaching
The group teaches across the quantitative sequence at the Department of Economics, from introductory statistics through econometrics, machine learning and health economics, and members teach these methods outside the department as well.
Members give invited PhD courses elsewhere in Europe, most recently on causal inference and panel data at Bergamo in 2025, and earlier at Hamburg and Roma Tre. The group supervises three doctoral students at present and regularly hosts visiting PhD students. Giovanni Mellace has been the department's PhD coordinator since 2022.
Key research areas
| Areas of teaching expertise Statistics, econometrics, applied microeconometrics and causal inference, machine learning and data science,health economics, and economic evaluation. |
| PhD training Invited PhD courses on causal inference and panel data at Bergamo, Hamburg and Roma Tre. Three doctoral students at present, and visiting PhD students hosted regularly. |
Grants in this area
| Project | Funder | Grant recipient |
| MIME: Master Class in Innovation, Math and Economics | Region Syddanmark | Christian Kronborg 263,164 DKK |