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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. →
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. →
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. →
Risicorapportage Financiële markten 2021
Authors
- Benedikt Vogt (66)
- Beau Soederhuizen (21)
- Karen van der Wiel (21)
- Sander van Veldhuizen (18)
- Lu Zhang (16)
- Bert Smid (12)
- Sander Lammers (11)
- Fien van Solinge (10)
- Kan Ji (10)
- Bart Voogt (8)
- Adam Elbourne (7)
- Andrei Dubovik (7)
- Rutger Teulings (7)
- Bert Kramer (5)
- Douwe Kingma (5)
- Michiel Bijlsma (5)
- Leonie Gercama (4)
- Anja Deelen (3)
- Anne Marieke Braam (3)
- Bram Hendriks (3)
- Gerdien Meijerink (3)
- Jennifer Olsen (3)
- Lily Davies (3)
- Mark Kattenberg (3)
- Ramy El-Dardiry (3)
- Rinske Windig (3)
- Roel van Elk (3)
- Rosa van der Drift (3)
- Harro van Heuvelen (2)
- Leon Bettendorf (2)
- Machiel van Dijk (2)
- Maurits van Kempen (2)
- Nancy van Beers (2)
- Natasha Kalara (2)
- Remco Mocking (2)
- Stefan Groot (2)
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Tags
- Macroeconomics (51)
- Risk and regulation (49)
- Financial markets (44)
- International analysis (15)
- International economy (15)
- Competition and regulation (13)
- COVID-19 (12)
- Public finances (11)
- Built environment (8)
- Physical environment (8)
- Productivity (7)
- Labour (6)
- Government (5)
- Knowledge and Innovation (5)
- Data science (4)
- Data science team (3)
- Education and Science (3)
- Digital economy (2)
- Labour market (2)
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