Is the COVID-19 Pandemic Fast-Tracking Automation in Developing Countries? Evidence from Colombia
研究新冠疫情对哥伦比亚自动化进程的影响，发现高自动化潜力职业的岗位和就业下降更多，但影响不持久，且主要冲击女性、40岁以上和低薪群体。
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.