Occupational mobility and automation: a data-driven network model.

ABSTRACT: The potential impact of automation on the labour market is a topic that has generated significant interest and concern amongst scholars, policymakers and the broader public. A number of studies have estimated occupation-specific risk profiles by examining how suitable associated skills and tasks are for automation. However, little work has sought to take a more holistic view on the process of labour reallocation and how employment prospects are impacted as displaced workers transition into new jobs. In this article, we develop a data-driven model to analyse how workers move through an empirically derived occupational mobility network in response to automation scenarios. At a macro level, our model reproduces the Beveridge curve, a key stylized fact in the labour market. At a micro level, o

SUBMITTER: Del Rio-Chanona RM 

PROVIDER: S-EPMC7879770 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature