Publications
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. →