Template-type: ReDif-Paper 1.0
Author-Name: Nii-Aponsah, Hubert
Author-workplace-name: RS: GSBE other - not theme-related research, Mt Economic Research Inst on Innov/Techn
Title: Automation exposure and implications in advanced and developing countries across gender, age, and skills
Abstract: This paper addresses three main objectives. First, the analysis<br/>estimates and compares the average share of workers at risk of<br/>automation in advanced and developing regions. Second, the study<br/>investigates the possible structural implications of automation across<br/>the Gender, Age, and Skill labour market structures at the sectoral,<br/>country, and regional levels. Third, the paper extends the analysis of<br/>the Gender structure from possible job implications to potential wage<br/>consequences; in particular, the potential effect of automation on the<br/>gender wage gap at the regional level is studied and the sources of the<br/>differentials are identified. This study uses data from the PIAAC<br/>dataset, which comprises detailed task data for individual workers<br/>including novel data for developing countries. The results indicate<br/>that, from a purely technological feasibility viewpoint, advanced<br/>countries are more vulnerable than developing countries on average. Male<br/>and middle-aged workers are also likely to be more affected by<br/>automation, whereas high-skilled workers are likely to be the least<br/>affected by automation. The results also indicate that automation could<br/>reduce gender inequality not only through jobs but also through wages.
Classification-JEL: j16,j21,j31,o30,o33
Series: UNU-MERIT Working Papers
Creation-Date: 20220616
Number: 2022-021
File-URL: https://cris.maastrichtuniversity.nl/ws/files/106570168/wp2022_021.pdf
File-Format: application/pdf
File-Size: 1389653
Handle: Repec:unm:unumer:2022021
DOI: