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dc.contributor.authorBAMIEH, Omar
dc.contributor.authorBRIPI, Francesco
dc.contributor.authorFIORINI, Matteo
dc.contributor.editorBRIPI, Francesco
dc.date.accessioned2020-05-21T07:57:31Z
dc.date.available2020-05-21T07:57:31Z
dc.date.issued2020
dc.identifier.issn1028-3625
dc.identifier.urihttp://hdl.handle.net/1814/67087
dc.description.abstractThe paper investigates the relationship between services trade performance and employment characteristics in Italian firms. Our analysis is at the micro level and descriptive in nature. We merge micro data on services trade transactions with employment and wage variables at the level of the firm. We find that firms engaged in services trade tend to employ a larger share of managers and white collars and to pay higher average wages. They also exhibit systematically smaller shares of blue collars in their employment structure. These patterns hold qualitatively across all main sectors of firms' affiliation and across sectors of traded services. We find a strong and positive association between services exports and/or imports and total employment. Regression analysis confirms this last finding and shows it is robust to controlling for various confounding heterogeneity.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherEuropean University Instituteen
dc.relation.ispartofseriesEUI RSCASen
dc.relation.ispartofseries2020/39en
dc.relation.ispartofseriesGlobal Governance Programme-400en
dc.relation.ispartofseries[Global Economics]en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectServices tradeen
dc.subjectEmploymenten
dc.subjectFirm-level dataen
dc.subjectItalyen
dc.subjectF14en
dc.subjectF16en
dc.subject.otherTrade, investment and international cooperationen
dc.titleServices trade and labour market outcomes : evidence from Italian firmsen
dc.typeWorking Paperen
dc.rights.licenseAttribution 4.0 International*


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International