Publications

In this paper, we explore how machine learning can enhance macroeconomic forecasting for the Dutch economy. →

It is possible to promote diversity among student populations without the use of lottery selection. →

Recently developed heterogeneity-robust two-way fixed effects (TWFE) estimators do not quantify the full heterogeneity in treatment effects in a difference-in-differences research design.... →

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. →

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.... →

The chance to obtain a higher education diploma rises by about 3.6 percentage point for every year that a refugee arrives earlier. →

We show that this reform not only affected consumption of this care type, but also the consumption of three other types of long-term care that are financed through another public scheme. →

Exploiting a rich data set on the Dutch market for assistance in daily housekeeping activities (ADHA), we find that larger providers obtain a higher price than do small providers. However, compared to other studies on market power in care markets this price difference is considered small to moderate. →