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

Leonardo Bonilla-Mejía; Luz Adriana Flórez; Didier Hermida-Giraldo; Francisco Javier Lasso-Valderrama; Leonardo Fabio Morales; Juan José Ospina-Tejeiro; José Pulido

JOURNAL OF HUMAN CAPITAL

Número:

4

DOI:

https://doi.org/10.1086/726758

Publicado:

Martes, 11 Julio 2023

Authors:

Leonardo Bonilla-Mejía^a,

Luz Adriana Flórez^a,

Didier Hermida-Giraldo^a,

Francisco Javier Lasso-Valderrama^a,

Leonardo Fabio Morales^a,

Juan José Ospina-Tejeiro^a,

José Pulido^a

Clasificación JEL:

F16

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Andrés Nicolás Herrera-Rojas, David Camilo López-Valenzuela, Juan José Ospina-Tejeiro, Jesús Antonio Bejarano-Rojas

Mitos y realidades del Catatumbo

Jaime Alfredo Bonet-Moron, Yuri Carolina Reina-Aranza, Adriana Ortega, Ana Rosa Polanco

Explorando la relación entre aportes netos de capital y rentabilidad en los fondos de inversión colectiva abiertos sin pacto de permanencia en Colombia

Juan Sebastián Mariño-Montaña, Daniela Rodriguez-Novoa, Camilo Eduardo Sánchez-Quinto

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.

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

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