Risk of Automation of Jobs in Colombia

Abstract

This study analyzes the proportion of workers with occupations at high risk of being replaced by technology in Colombia and explores the personal, occupational and business characteristics that make workers more or less vulnerable to the fourth industrial revolution. We use a Generalized Linear Model (GLM) to show that more than a third of workers have jobs at high risk of automation; however, variables such as educational level, job training, economic sector, among others, are significant characteristics that mitigate the negative impacts of technological progress on employment.

Keywords

• Employment
• Generalized Linear Model
• Job Automation
• Labor Market
• Technological Progress