Search results
March 1, 2023
Predicting Firm Exits with Machine Learning: Implications for Selection into COVID-19 Support and Productivity Growth
In this paper, we use machine learning techniques to predict whether a company would have left the market in a world without corona. These predictions show that unhealthy companies applied for support less often than healthy companies. But we also show that the COVID-19 support has prevented most exits among unhealthy companies. This indicates that the corona support measures have had a negative impact on productivity growth. →
May 25, 2021
Risicorapportage Financiële markten 2021
September 7, 2020
Analyse van kwetsbare bedrijven en banken in de coronacrisis
June 2, 2020
Risicorapportage Financiële markten 2020
June 2, 2020
A stress test of Dutch SMEs
March 12, 2020
Beweging op de woningmarkt: prijzen en volumes
Authors
- Benedikt Vogt (19)
- Beau Soederhuizen (6)
- Karen van der Wiel (6)
- Lu Zhang (4)
- Sander Lammers (4)
- Fien van Solinge (3)
- Sander van Veldhuizen (3)
- Adam Elbourne (2)
- Bart Voogt (2)
- Bert Kramer (2)
- Bert Smid (2)
- Kan Ji (2)
- Andrei Dubovik (1)
- Anja Deelen (1)
- Anne Marieke Braam (1)
- Bram Hendriks (1)
- Douwe Kingma (1)
- Gerdien Meijerink (1)
- Harro van Heuvelen (1)
- Jennifer Olsen (1)
- Leon Bettendorf (1)
- Leonie Gercama (1)
- Lily Davies (1)
- Machiel van Dijk (1)
- Mark Kattenberg (1)
- Maurits van Kempen (1)
- Natasha Kalara (1)
- Ramy El-Dardiry (1)
- Remco Mocking (1)
- Rinske Windig (1)
- Roel van Elk (1)
- Rosa van der Drift (1)
- Rutger Teulings (1)
- Stefan Groot (1)
- Show all
Tags
- Macroeconomics (15)
- Risk and regulation (14)
- Financial markets (12)
- COVID-19 (4)
- Competition and regulation (4)
- International analysis (4)
- International economy (4)
- Public finances (4)
- Built environment (2)
- Government (2)
- Labour (2)
- Physical environment (2)
- Data science (1)
- Data science team (1)
- Education and Science (1)
- Knowledge and Innovation (1)
- Labour market (1)
- Productivity (1)
- Show all