Abstract
This paper explores the impact of the COVID-19 lockdown on aggregate employment in Belgium. To this end, we use microdata of all Belgian firms and apply a machine learning-based approach to simulate the impact of the lockdown on employment growth under various economic scenarios. In doing so, we distinguish between start-ups and incumbent firms with both short and long-term effects. In the short term, we expect to see significant losses of employment coming mainly from mature incumbent firms. In the long term, the missing generation of start-ups formed during the lockdown will have a significant and growing effect of slowing down the employment growth even a decade after the lockdown.
Original language | English |
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Pages (from-to) | 457-473 |
Number of pages | 17 |
Journal | International Economics and Economic Policy |
Volume | 18 |
Issue number | 3 |
DOIs | |
Publication status | Published - Jul 2021 |
Keywords
- COVID-19
- Employment dynamics
- Machine learning
- Start-ups
ASJC Scopus subject areas
- Economics and Econometrics