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Resilience to Automation: The Role of Task Overlap for Job Finding

Diego Dabed Sitnisky, Sabrina Genz and Emilie Rademakers

Working Papers from Utrecht School of Economics

Abstract: 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.

Keywords: automation; unemployment; occupational reallocation; task overlap; job network (search for similar items in EconPapers)
Pages: 57 pages
Date: 2023-12
New Economics Papers: this item is included in nep-tid
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https://dspace.library.uu.nl/bitstream/handle/1874/436031/LEG_USE_WP_23-12.pdf

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