Is the COVID-19 Pandemic Fast-Tracking Automation in Developing Countries? Evidence from Colombia

Leonardo Bonilla-Mejía, Luz Florez, Didier Hermida, Francisco Lasso, Leonardo Morales (), Juan Ospina-Tejeiro and Jose Pulido
Authors registered in the RePEc Author Service: Leonardo Bonilla Mejia

Journal of Human Capital, 2023, vol. 17, issue 4, 593 - 616

Abstract: We assess the effect of the COVID-19 pandemic on the automation process in Colombia, a country that has low R&D and productivity and high labor informality. We estimate event-study models to evaluate the differential effect of the pandemic on job openings and salaried employment by the potential degree of automation of each occupation. The results indicate that both vacancies and salaried employment declined more in highly automatable occupations. However, there is no evidence of persistent effects. We find that automation mainly affected the labor market of females, individuals over 40 years old, and low-paid occupations.

Date: 2023
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Working Paper: Is the Covid-19 Pandemic Fast-Tracking Automation in Developing Countries? Evidence from Colombia (2022)
Working Paper: Is the Covid-19 pandemic fast-tracking automation in developing countries? Evidence from Colombia (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:ucp:jhucap:doi:10.1086/726758

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