The Role of Education in Mitigating Automation’s Effect on Wage Inequality
Raja Bentaouet Kattan,
Kevin Macdonald and
Harry Patrinos
LABOUR, 2021, vol. 35, issue 1, 79-104
Abstract:
While automation has renewed the debate about labor market policy responses to inequality and job losses, less attention has been given to education policy. We present a general equilibrium model and empirical evidence showing how education mitigates wage inequality resulting from a recent, worst‐case expectation of technology’s ability to automate job tasks. Our model predicts that education could reduce automation’s marginal effect on the wage gap between lower‐ and higher‐skilled labor by up to 3 percentage points. Education policies that promote automation‐complementing skill formation would reduce the need for costly labor market and wealth redistribution interventions later in life.
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://doi.org/10.1111/labr.12187
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:labour:v:35:y:2021:i:1:p:79-104
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=1121-7081
Access Statistics for this article
LABOUR is currently edited by Franco Peracchi
More articles in LABOUR from CEIS Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().