Rights statement: This is the peer reviewed version of the following article: Agasisti, T., Johnes, G. and Paccagnella, M. (2021), Tasks, occupations and wages in OECD countries. International Labour Review, 160, 1, 2021 doi: 10.1111/ilr.12169 which has been published in final form at https://onlinelibrary.wiley.com/doi/abs/10.1111/ilr.12169 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Tasks, occupations and wages in OECD countries
AU - Agasisti, Tommaso
AU - Johnes, Geraint
AU - Paccagnella, Marco
N1 - This is the peer reviewed version of the following article: Agasisti, T., Johnes, G. and Paccagnella, M. (2021), Tasks, occupations and wages in OECD countries. International Labour Review, 160, 1, 2021 doi: 10.1111/ilr.12169 which has been published in final form at https://onlinelibrary.wiley.com/doi/abs/10.1111/ilr.12169 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
PY - 2021/3/31
Y1 - 2021/3/31
N2 - 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.
AB - 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.
KW - earnings
KW - occupations
KW - skills
KW - tasks
U2 - 10.1111/ilr.12169
DO - 10.1111/ilr.12169
M3 - Journal article
VL - 160
SP - 85
EP - 112
JO - International Labour Review
JF - International Labour Review
SN - 0020-7780
IS - 1
ER -