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.

October 4, 2022

Forecasting World Trade Using Big Data and Machine Learning Techniques

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...

September 29, 2022

Temporal Patterns in Economics Research

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

February 1, 2019

The impact of age at arrival on education and mental health

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

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September 13, 2018

Are substitute services a barrier to controlling long-term care expenditures?

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.

February 8, 2018

Competition and pricing behavior in long term care markets: Evidence from the Market for Assistance in Daily Housekeeping Activities

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.

June 1, 2015

The stimulative effect of an unconditional block grant on the decentralized provision of care

Understanding the impact of central government grants on decentralized health care provision is of crucial importance for the design of grant systems, yet empirical evidence on the prevalence of flypaper effects in this domain is rare.

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