Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/11804
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dc.contributor.authorSuleman, F.-
dc.contributor.authorLagoa, S.-
dc.contributor.authorSuleman, A.-
dc.contributor.authorPereira, M. L.-
dc.date.accessioned2016-07-19T14:45:02Z-
dc.date.available2016-07-19T14:45:02Z-
dc.date.issued2013-
dc.identifier.issn1476-413Xpor
dc.identifier.urihttps://ciencia.iscte-iul.pt/public/pub/id/12817-
dc.identifier.urihttp://hdl.handle.net/10071/11804-
dc.description.abstractThe research on wage policies has been triggered by the interest in identifying whether labour market or institutional forces shape wage settings inside firms. This article draws on linked employer-employee data and uses a fuzzy c-means clustering analysis to identify the typical wage policies of medium and large firms in Portugal. Empirical evidence suggests firms are segmented into four clusters that can be labelled according to wage rules as regulated, asymmetric, hierarchical and discretionary. The first two clusters comprise low wage firms, and are highly responsive to market conditions. The firms belonging to the latter clusters take advantage of discretionary power to differentiate the workforce. Our findings therefore illustrate different dimensions of wage flexibility. Furthermore, we found that employment flexibility and wage adjustments can co-exist, and this affects female, young and blue-collar workers in particular.por
dc.language.isoengpor
dc.publisherIntellect Ltd.por
dc.relationinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/133006/PT-
dc.rightsembargoedAccesspor
dc.subjectSegmentationpor
dc.subjectWage policiespor
dc.subjectFirmspor
dc.subjectLEEDpor
dc.subjectFuzzy clusteringpor
dc.titleWage policy of medium and large Portuguese firmspor
dc.typearticleen_US
dc.pagination227-248por
dc.publicationstatusPublicadopor
dc.peerreviewedyespor
dc.relation.publisherversionThe definitive version is available at: http://dx.doi.org/10.1386/pjss.12.3.227_1por
dc.journalPortuguese Journal of Social Sciencepor
dc.distributionInternacionalpor
dc.volume12por
dc.number3por
degois.publication.firstPage227por
degois.publication.lastPage248por
degois.publication.issue3por
degois.publication.titlePortuguese Journal of Social Sciencepor
dc.date.updated2016-07-19T14:42:39Z-
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