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The Impact of COVID-19 on Jobs in Korea: Does Contact-intensiveness Matter?

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  • Aum, Sangmin
Abstract
This paper studies how COVID-19 has affected the labor market in Korea through a general equilibrium model with multiple industries and occupations. In the model, workers are allocated to one of many occupations in an industry, and industrial or occupational shocks alter the employment structure. I calibrate the model with Korean data and identify industrial and occupational shocks, referred to here as COVID- 19 shocks, behind the employment dynamics in 2020 and 2021. I find that COVID-19 shocks are more severefor those with jobs with a higher risk of infection and in those that are more difficult to do from home. Interestingly, the relationship between COVID-19 shocks and infection risk weakened as the pandemic progressed, whereas the relationship between COVID-19 shocks and easiness of work-from-home strengthened. I interpret the results as meaning that the pandemic may direct future technological chang es to replace tasks that require contact-intensive steps, and I simulate the impact of such technological changes through the lens of the model. The results show that such technological changes will lower the demand for manual workers compared to the demands for other occupations. This contrasts with the earlier trend of job polarization, where manual workers continued to increase their employment share, with the share of routine workers secularly declining at the same time.

Suggested Citation

  • Aum, Sangmin, 2022. "The Impact of COVID-19 on Jobs in Korea: Does Contact-intensiveness Matter?," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 44(2), pages 1-28.
    • Handle: RePEc:zbw:kdijep:261164
    DOI: 10.23895/KDIJEP.2022.44.2.1
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    References listed on IDEAS

    as
    1. Nir Jaimovich & Henry E. Siu, 2020. "Job Polarization and Jobless Recoveries," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 129-147, March.
    2. Adams-Prassl, A. & Boneva, T. & Golin, M. & Rauh, C., 2020. "Work Tasks That Can Be Done From Home: Evidence on Variation Within and Across Occupations and Industries," Cambridge Working Papers in Economics 2040, Faculty of Economics, University of Cambridge.
    3. Simon Mongey & Laura Pilossoph & Alexander Weinberg, 2021. "Which workers bear the burden of social distancing?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(3), pages 509-526, September.
    4. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2022. "Work that can be done from home: evidence on variation within and across occupations and industries," Labour Economics, Elsevier, vol. 74(C).
    5. Aum, Sangmin & Lee, Sang Yoon (Tim) & Shin, Yongseok, 2021. "Inequality of fear and self-quarantine: Is there a trade-off between GDP and public health?," Journal of Public Economics, Elsevier, vol. 194(C).
    6. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    7. Aum, Sangmin & Lee, Sang Yoon (Tim) & Shin, Yongseok, 2018. "Computerizing industries and routinizing jobs: Explaining trends in aggregate productivity," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 1-21.
    8. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    9. Lee, Sang Yoon (Tim) & Shin, Yongseok, 2017. "Horizontal and Vertical Polarization: Task-Specific Technological Change in a Multi-Sector Economy," CEPR Discussion Papers 12524, C.E.P.R. Discussion Papers.
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    11. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
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    More about this item

    Keywords

    COVID-19; Contact Intensiveness; Job Polarization; Directed Technological Change;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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