Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/324243 
Authors: 
Year of Publication: 
2025
Series/Report no.: 
Working Paper Series in Economics No. 434
Publisher: 
Leuphana Universität Lüneburg, Institut für Volkswirtschaftslehre, Lüneburg
Abstract: 
This paper uses firm level data from the World Bank Enterprise surveys conducted in 2019 and from the COVID-19 follow-up surveys conducted in 2020 in eight European countries to investigate the link between firm characteristics before the pandemic and firm survival until 2020. For the first time the marginal effects of firm characteristics are computed by a new machine-learning estimator, Kernel Regularized Least Squares (KRLS), which makes no restrictive assumptions regarding the functional form of the empirical model used. A comparison with results from a standard parametric approach, Probit regression, reveals important differences.
Subjects: 
Firm survival
COVID-19
World Bank Enterprise Survey
kernel regularized least squares (KRLS)
JEL: 
D22
F14
L20
L25
L29
Document Type: 
Working Paper

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