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dc.contributor.authorAcemoglu, Daron
dc.contributor.authorAutor, David
dc.contributor.authorHazell, Jonathon
dc.contributor.authorRestrepo, Pascual
dc.date.accessioned2022-08-24T17:33:47Z
dc.date.available2022-08-24T17:33:47Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/144424
dc.language.isoen
dc.publisherUniversity of Chicago Pressen_US
dc.relation.isversionof10.1086/718327en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceUniversity of Chicago Pressen_US
dc.titleArtificial Intelligence and Jobs: Evidence from Online Vacanciesen_US
dc.typeArticleen_US
dc.identifier.citationAcemoglu, Daron, Autor, David, Hazell, Jonathon and Restrepo, Pascual. 2022. "Artificial Intelligence and Jobs: Evidence from Online Vacancies." Journal of Labor Economics, 40 (S1).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Economics
dc.relation.journalJournal of Labor Economicsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-08-24T17:31:06Z
dspace.orderedauthorsAcemoglu, D; Autor, D; Hazell, J; Restrepo, Pen_US
dspace.date.submission2022-08-24T17:31:07Z
mit.journal.volume40en_US
mit.journal.issueS1en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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