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  • 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. (xsd:string)
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  • 2021 (xsd:gyear)
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  • 2021 (xsd:gyear)
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  • 10.1111/labr.12187 ()
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  • The role of education in mitigating automation's effect on wage inequality (xsd:string)
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  • In Labour, 35(1), 79-104, 2021 (xsd:string)
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