The workshop brings together econometricians from Switzerland and Europe for two days of research presentations and discussions. The focus of the presentations is on causal inference, causal machine learning, and data science, with applications to policy-relevant topics such as labour and health.
| 11:45-12:45 | Welcome at UniDistance Suisse | |
| 12:45-13:30 | Fairness in Optimal Policy | Johanna Kutz - University of St.Gallen |
| 13:30-14:15 | Participation in ICT Courses and Labour Market Outcomes: Evidence from Causal Machine Learning | Francesco La Russa - University of Basel |
| 14:45-15:30 | Quantile on Quantiles | Martina Pons - University of Zurich |
| 15:30-16:15 | Causal Graphs for Conditional Parallel Trends | Michael Knaus - University of TĂĽbingen |
| 16:45-17:30 | Do Blood Levels Predict Employment in England for Male Workers Above Age 50? Longitudinal Evidence from OLS and Machine Learning Ridge Regressions | Patrick Puhani - Leibniz University Hannover |
| 17:30-18:15 | Difference-in-Differences with Time-varying Continuous Treatments Using Double/Debiased Machine Learning | Martin Huber - University of Fribourg |
| 18:15-18:30 | How much can targeting achieve? New metrics to inform decision making | Anthony Strittmatter - UniDistance Suisse |
If you’d like to attend the presentations, please contact Anthony Strittmatter.