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Article . 2020
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Canadian Journal of Economics/Revue canadienne d économique
Article . 2020 . Peer-reviewed
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Computerization and immigration: Theory and evidence from the United States

Authors: Basso, Gaetano; Peri, Giovanni; Rahman, Ahmed S.;

Computerization and immigration: Theory and evidence from the United States

Abstract

AbstractRecent technological changes have been characterized as “routine‐substituting” because they reduce demand for routine tasks and increase demand for analytical and service tasks. Little is known about how these changes have impacted immigration, or task specialization between immigrants and native‐born individuals. In this paper, we show that such technological progress has attracted immigrants who increasingly specialize in manual‐service occupations. We also suggest that openness to immigration attenuated the job and wage polarization faced by native‐born from technological changes. We explain these facts with a model of technological progress and endogenous immigration. Simulations show that unskilled immigration attenuates the drop in routine employment proceeding from technological change, enhances skill upgrading for native‐born and raises economy‐wide productivity and welfare.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
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