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The Impact of Immigration on Skills, Innovation and Wages: Education Matters more than where People Come from

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dc.contributor.authorDas, Gouranga Gopal-
dc.contributor.authorMarjit, Sugata-
dc.contributor.authorKar, Mausumi-
dc.date.accessioned2021-06-22T09:04:49Z-
dc.date.available2021-06-22T09:04:49Z-
dc.date.issued2020-05-
dc.identifier.issn0161-8938-
dc.identifier.issn1873-8060-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/1133-
dc.description.abstractWith the ensuing immigration reform in the US, the paper shows that targeted skilled immigration into the R&D sector that helps low-skilled labor is conducive for controlling inequality and raising wage. Skilled talent-led innovation could have spillover benefits for the unskilled sector while immigration into the production sector will always reduce wage, aggravating wage inequality. In essence, we infer: (i) if R&D inputs contributes only to skilled sector, wage inequality increases in general; (ii) for wage gap to decrease, R&D sector must produce inputs that goes into unskilled manufacturing sector; (iii) even with two types of specific R&D inputs entering into the skilled and unskilled sectors separately, unskilled labor is not always benefited by high skilled migrants into R&D-sector. Rather, it depends on the importance of migrants' skill in R&D activities and intensity of inputs. Empirical verification using a VAR model in the context of the USA confirms the conjectures, and the empirical results substantiate our policy-guided hypothesis that skilled immigration facilitates innovation with favorable impact on reducing wage-gap. Inclusive immigration policy requires inter-sectoral diffusion of ideas embedded in talented immigrants targeted for innovation. (C) 2020 The Society for Policy Modeling. Published by Elsevier Inc. All rights reserved.-
dc.format.extent26-
dc.language영어-
dc.language.isoENG-
dc.publisherElsevier BV-
dc.titleThe Impact of Immigration on Skills, Innovation and Wages: Education Matters more than where People Come from-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1016/j.jpolmod.2020.02.003-
dc.identifier.scopusid2-s2.0-85084995821-
dc.identifier.wosid000541084300004-
dc.identifier.bibliographicCitationJournal of Policy Modeling, v.42, no.3, pp 557 - 582-
dc.citation.titleJournal of Policy Modeling-
dc.citation.volume42-
dc.citation.number3-
dc.citation.startPage557-
dc.citation.endPage582-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBusiness & Economics-
dc.relation.journalWebOfScienceCategoryEconomics-
dc.subject.keywordPlusUNITED-STATES-
dc.subject.keywordPlusLABOR-MARKETS-
dc.subject.keywordPlusTRADE-
dc.subject.keywordPlusPRODUCTIVITY-
dc.subject.keywordPlusPROSPECTS-
dc.subject.keywordPlusGROWTH-
dc.subject.keywordPlusCOMPLEMENTARITY-
dc.subject.keywordPlusTRUMPECONOMICS-
dc.subject.keywordPlusTECHNOLOGY-
dc.subject.keywordPlusPOLICY-
dc.subject.keywordAuthorImmigration-
dc.subject.keywordAuthorInnovation-
dc.subject.keywordAuthorWage gap-
dc.subject.keywordAuthorGeneral equilibrium-
dc.subject.keywordAuthorVAR model-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0161893820300181?via%3Dihub-
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