Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/106673
DC FieldValueLanguage
dc.contributor.authorSantos, Marcelo-
dc.contributor.authorGarrido, Susana-
dc.contributor.authorSequeira, Tiago Neves-
dc.date.accessioned2023-04-14T14:33:12Z-
dc.date.available2023-04-14T14:33:12Z-
dc.date.issued2023-01-05-
dc.identifier.urihttps://hdl.handle.net/10316/106673-
dc.description.abstractWe look at data for Management and Skills demand of firms in existing databases and we highlight the strong positive relationship between both variables. We devise a model that explains this relationship and calibrate it in order to present quantitative results and compare those results with the estimated ones. We discover that a simple model with Management as Technology can replicate well the estimated influence of Management in the skills demand of firms. We also present evidence of the influence of the subitems of Management on skills’ demand and discovered that aside from the talent component of Management, target and performance components greatly influence the demand for skills.pt
dc.language.isoengpt
dc.relation.ispartofseriesCeBER Working Paper 2023-01;-
dc.rightsopenAccesspt
dc.subjectmanagement practices, productivity, human capitalpt
dc.titleManagement and Human Capital Employment: an overlookedpt
dc.typeworkingPaperpt
degois.publication.locationhttps://www.uc.pt/en/uid/ceber/working-paper?key=cb7fc992pt
degois.publication.titleCeBER Working Paperpt
dc.peerreviewedyespt
dc.date.embargo2023-01-05*
uc.date.periodoEmbargo0pt
item.openairetypeworkingPaper-
item.fulltextCom Texto completo-
item.languageiso639-1en-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.researchunitCeBER – Centre for Business and Economics Research-
crisitem.author.researchunitCeBER – Centre for Business and Economics Research-
crisitem.author.orcid0000-0003-2065-6579-
crisitem.author.orcid0000-0001-5229-3130-
Appears in Collections:I&D CeBER - Working Papers
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