Cargando…
Impacts of the COVID‐19 outbreak on older‐age cohorts in European Labor Markets: A machine learning exploration of vulnerable groups
We identify vulnerable groups through the examination of their employment status in the face of the initial coronavirus disease 2019 (COVID‐19) shock through the application of tree‐based ensemble machine learning algorithms on a sample of individuals over 50 years old. The present study elaborates...
Autores principales: | Celbiş, Mehmet Güney, Wong, Pui‐hang, Kourtit, Karima, Nijkamp, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115518/ http://dx.doi.org/10.1111/rsp3.12520 |
Ejemplares similares
-
Spotlight on the region analytical contributions on regional development
por: Nijkamp, Peter, et al.
Publicado: (2022) -
Airbnb and COVID-19: SPACE-TIME vulnerability effects in six world-cities
por: Kourtit, Karima, et al.
Publicado: (2022) -
On the bumpy road to recovery: resilience of public transport ridership during COVID-19 in 15 European cities
por: Manout, Ouassim, et al.
Publicado: (2023) -
Unemployment in Rural Europe: A Machine Learning Perspective
por: Celbiş, Mehmet Güney
Publicado: (2022) -
Leisure mobility changes during the COVID-19 pandemic – An analysis of survey and mobile phone data in Sweden
por: Östh, John, et al.
Publicado: (2023)