Infection Risk at Work, Automatability, and Employment

Ana L. Abeliansky (), Klaus Prettner and Roman Stoellinger ()
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Ana L. Abeliansky: Department of Economics, Vienna University of Economics and Business
Roman Stoellinger: Department of Economics, Vienna University of Economics and Business

Department of Economics Working Papers from Vienna University of Economics and Business, Department of Economics

Abstract: We propose a model of production featuring the trade-off between employing workers versus employing robots and analyze the extent to which this trade-off is altered by the emergence of a highly transmissible infectious disease. Since workers are - in contrast to robots - susceptible to pathogens and also spread them at the workplace, the emergence of a new infectious disease should reduce demand for human labor. According to the model, the reduction in labor demand concerns automatable occupations and increases with the viral transmission risk. We test the model's predictions using Austrian employment data over the period 2015-2021, during which the COVID-19 pandemic increased the infection risk at the workplace substantially. We find a negative effect on occupation-level employment emanating from the higher viral transmission risk in the COVID years. As predicted by the model, a reduction in employment is detectable for automatable occupations but not for non-automatable occupations.

Keywords: Automation; robots; pandemics; viral transmission risk; occupational employment; shadow cost of human labor (search for similar items in EconPapers)
JEL-codes: I14 J21 J23 J32 O33 (search for similar items in EconPapers)
Date: 2023-12
New Economics Papers: this item is included in nep-eur, nep-hea, nep-lma and nep-rmg
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Working Paper: Infection Risk at Work, Automatability, and Employment (2023)
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