Date
18.11.2021 - 19.11.2021
Scientific committee
- Marina Bonaccolto-Töpfer (FAU)
- Julia Lang (IAB)
- Regina Riphahn (FAU)
- Claus Schnabel (FAU)
- Gesine Stephan (IAB and FAU)
Programme
DONNERSTAG, 18. November 2021
- 1:50 pm – Welcome address
- 2:00 pm – Session 4: Education (Chair: Gesine Stephan)
- Estimating returns to special education: combining machine learning and text analysis to address confounding
Aurélien Sallin, University of St. Gallen - Take a chance on UAS – On the influence of university dropouts at universities of applied sciences
Daniel Goller, Centre for Research in Economics of Education, University of Bern - How Do Politicians React to Information Shocks? Evidence from the First PISA Results in Germany
Pietro Sancassani, ifo Institute Munich
- Estimating returns to special education: combining machine learning and text analysis to address confounding
- 3:30 pm – Virtual coffee break
- 3:50 pm – Session 1: Predicting dropout (Chair: Regina Riphahn)
- Predicting Student Dropout: A Replication
Berthold Wigger, Karlsruhe Institute of Technology - Can Predicting Dropout in Social Programs Increase Program Returns?
Katharina Wedel, ifo Institute Munich
- Predicting Student Dropout: A Replication
- 4:50 pm – Short break
- 5:00 pm – Keynote Lecture (Chair: Regina Riphahn)
Susan Athey, Stanford University - 6:00 pm – End of first workshop day
FREITAG, 19. November 2021
- 2:00 pm – Session 2: Methodological contributions (Chair: Marina Bonaccolto-Töpfer)
- Double machine learning for sample selection models
Martin Huber, University of Fribourg - Data Driven Estimation of Group Structures in Individual Fixed Effects Models
Christina Zapp, ZEW — Leibniz Centre for European Economic Research and University of Mannheim
- Double machine learning for sample selection models
- 3:00 pm – Virtual coffee break
- 3:15 pm – Session 4: Specific aspects of the labor market (Chair: Julia Lang
- Gender-specific job advertisements
Michael Stops, IAB Nuremberg - Evaluating the impact of the introduction of EU Blue card in France and Germany through machine learning techniques
Giulio Pedrini, Kore University of Enna
- Gender-specific job advertisements
- 4:15 pm – Virtual coffee break
- 4.30 pm – Session 3: Placement processes (Chair: Claus Schnabel)
- Machine Learning and Data Analysis for Labour Market Matching
Sabrina Mühlbauer, IAB Nuremberg - Predicting Long-Term Unemployment using Machine Learning Techniques and Administrative Data
Max Kunaschk, IAB Nuremberg and University of Groningen
- Machine Learning and Data Analysis for Labour Market Matching
- 5:30 pm – Concluding words
- 5:40 pm – End of second workshop day