Tasks, occupations and wages in OECD countries

Fuente: Organización Internacional del Trabajo (OIT)
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Hauptverfasser: Tommaso Agasisti, Geraint Johnes, Marco Paccagnella
Format: Artículo científico
Veröffentlicht: International Labour Organization 2021
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author Tommaso Agasisti
Geraint Johnes
Marco Paccagnella
author_facet Tommaso Agasisti
Geraint Johnes
Marco Paccagnella
Tommaso Agasisti
Geraint Johnes
Marco Paccagnella
contents Tasks, occupations and wages in OECD countries Tommaso Agasisti Geraint Johnes Marco Paccagnella This paper investigates the relationships between earnings, human capital, and job tasks, exploiting internationally comparable information from the OECD Survey of Adult Skills. We use the theoretical framework presented in Autor and Handel (2013) and extend their empirical results to 20 OECD countries. Our data allow for a richer characterisation of worker’s human capital, by including both educational attainment and a measure of cognitive skills. We are able to confirm the predictive power of job tasks in explaining wage differences both between and within occupations, and to provide empirical support for the model’s prediction in the vast majority of countries. 10.1111/ilr.12169 DOI https://doi.org/10.1111/ilr.12169 publication.journalArticle
format Artículo científico
id ilo_995318710702676
institution Organización Internacional del Trabajo (OIT)
publishDate 2021
publisher International Labour Organization
spellingShingle Tasks, occupations and wages in OECD countries
Tommaso Agasisti
Geraint Johnes
Marco Paccagnella
Tasks, occupations and wages in OECD countries Tommaso Agasisti Geraint Johnes Marco Paccagnella This paper investigates the relationships between earnings, human capital, and job tasks, exploiting internationally comparable information from the OECD Survey of Adult Skills. We use the theoretical framework presented in Autor and Handel (2013) and extend their empirical results to 20 OECD countries. Our data allow for a richer characterisation of worker’s human capital, by including both educational attainment and a measure of cognitive skills. We are able to confirm the predictive power of job tasks in explaining wage differences both between and within occupations, and to provide empirical support for the model’s prediction in the vast majority of countries. 10.1111/ilr.12169 DOI https://doi.org/10.1111/ilr.12169 publication.journalArticle
title Tasks, occupations and wages in OECD countries
url https://researchrepository.ilo.org/esploro/outputs/journalArticle/Tasks-occupations-and-wages-in-OECD/995318710702676