Leonardo Bonilla-Mejia, Luz Adriana Florez, Didier Hermida, Francisco Lasso, Leonardo Fabio Morales, Juan Jose Ospina, José Pulido
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Is the COVID-19 Pandemic Fast-Tracking Automation in Developing Countries? Evidence from Colombia
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.
期刊介绍:
Journal of Human Capital is dedicated to human capital and its expanding economic and social roles in the knowledge economy. Developed in response to the central role human capital plays in determining the production, allocation, and distribution of economic resources and in supporting long-term economic growth, JHC is a forum for theoretical and empirical work on human capital—broadly defined to include education, health, entrepreneurship, and intellectual and social capital—and related public policy analyses. JHC encompasses microeconomic, macroeconomic, and international economic perspectives on the theme of human capital. The journal offers a platform for discussion of topics ranging from education, labor, health, and family economics.