Número:
4
Publicado:
Clasificación JEL:
F16

Lo más reciente
Luis E. Arango, Leonardo Bonilla-Mejía, Luz Adriana Flórez, Luis E. Arango
Julián Andrés Parra-Polanía, Constanza Martínez-Ventura
Edgar Caicedo-García, Jorge Enrique Ramos-Forero, Hernán Rincón-Castro, Hector Manuel Zárate-Solano
We assess the impact of COVID-19 pandemic on the automation process in Colombia, a country with 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.