Publications

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. →

This study examines to what extent international student assessments are an accurate indicator of educational performance and concludes that various problems can influence the score and position of the Netherlands. →

Researchers who receive the Rubicon grant perform the same as comparable non-awarded applicants on a number of academic outcomes, such as the number of scientific publications and the citation score. →

Energy cap dampens purchasing power risks, but is not a structural solution. →

We show that gifts made to heirs before death are substantial and highly responsive to taxation. Therefore, characterising them and understanding their determinants is crucial for tax design. We use high-quality, intergenerationally-linked data on wealth, gifts, and medical expenses from the Netherlands. →

We compare machine learning techniques to a large Bayesian VAR for nowcasting and forecasting world merchandise trade. We focus on how the predictive performance of the machine learning models changes when they have... →

We study the duration of topics in economics research by looking at how much time passes between publication of textually similar papers.... →

Temporary policy softens impact of energy crisis in 2023. →

Inflation is affecting more and more people, economic growth decreases. →

Interest rates have been trending downward since at least 1980s in developed economies, including the euro area. In fact, real rates (the real rate is the interest rate adjusted for inflation) are now at historically low levels. →