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Routine-biased technological change and employee outcomes after mass layoffs: Evidence from brazil

  • Antonio Martins-Neto
  • , Xavier Cirera
  • , Alex Coad

Research output: Working paper / Preprint › Working paper

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Abstract

We investigate the impact of "routinization" on the labor outcomes of displaced workers. We use a rich Brazilian panel dataset and an occupation-task mapping to examine the effect of job displacement in different groups, classified according to their tasks. Our main result is that following a layoff, workers previously employed in routine-intensive occupations suffer a more significant decline in wages and more extended periods of unemployment. As expected, job displacement has a negative and lasting impact on wages. Still, workers in routine-intensive occupations are more impacted than those in non-routine occupations in terms of wages (an increase of one point in the routineintensity index results in a further decline of 2 percent in workers' relative wages) and employment. Furthermore, our results indicate that workers in routine-intensive occupations are more likely to change occupations after the shock, and those who do not switch occupational fields suffer a more significant decline in wages. Lastly, even though the loss of employer-specific wage premiums explains 13 percent of displaced workers' drop in wages, it does not explain routine-intensive workers' more substantial losses.
Original languageEnglish
Place of PublicationMaastricht
PublisherUNU-MERIT
Publication statusPublished - 19 Apr 2022

Publication series

SeriesUNU-MERIT Working Papers
Number014
ISSN1871-9872

JEL classifications

  • j24 - "Human Capital; Skills; Occupational Choice; Labor Productivity"
  • j63 - "Labor Turnover; Vacancies; Layoffs"
  • o31 - Innovation and Invention: Processes and Incentives
  • o33 - "Technological Change: Choices and Consequences; Diffusion Processes"
  • o54 - "Economywide Country Studies: Latin America; Caribbean"

Keywords

  • Technological change
  • innovation
  • Routine intensity
  • Job displacement
  • Mass layoffs
  • Occupational mobility
  • Brazil

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