Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/323051 
Erscheinungsjahr: 
2023
Schriftenreihe/Nr.: 
U.S.E. Working Papers Series No. 23-12
Verlag: 
Utrecht University, Utrecht University School of Economics (U.S.E.), Utrecht
Zusammenfassung: 
We investigate the role of task similarity for the resilience of unemployed job seekers exposed to automation of routine tasks. Using a language model, we establish a novel job-to-job task similarity measure. Exploiting the resulting job network to define job markets flexibly, we find that only the most similar jobs affect job finding. Since automation-exposed jobs overlap with other highly exposed jobs, task-based reallocation provides little relief for affected job seekers. We show that this is not true for more recent software exposure, for which task overlap mitigates the distributional consequences. Our counterfactual simulation highlights the potential harm of increasing job mobility as it strengthens the divided exposure of job seekers to routine-task automation.
Schlagwörter: 
automation
unemployment
occupational reallocation
task overlap
job network
Dokumentart: 
Working Paper

Datei(en):
Datei
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