Publications
Author
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. →
A stress test of Dutch SMEs
How do the Dutch Finance their Own House? – Descriptive Evidence from Administrative Data
We investigate the major financing components which are used to purchase a house in the Netherlands. This is important to shed more light on the effects of changing lending norms. We look at the full universe of housing transactions in the Netherlands by making use of administrative data from Statistics Netherlands (CBS) for the period 2006-2014. →