English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/9874
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:

Title

The rewards of human capital competences for young european higher education graduates

AuthorsGarcía Aracil, Adela ; Mora Ruiz, José Ginés; Vila, Luis E.
Issue DateDec-2004
PublisherSpringer
CitationTertiary education and management 10(4): 261-349 (2004)
AbstractThe labour market rewards for a number of required human capital competences are analysed using a sample of young European higher education graduates. Factor analysis is applied to classify competences by jobs into eight orthogonal groups, namely participative, methodological, specialised, organisational, applying rules, physical, generic and socio-emotional competences. Estimates for the total rewards for competences are obtained through conventional wage regression, whereas estimates of the total rewards are derived in terms of job satisfaction through ordered logit regression. Explanatory variables include personal characteristics, job attributes, occupational titles, fields of study, type of higher education institution and countries dummies. Results on wage rewards show that jobs with higher requeriments of participative and methodological competences are best paid; conversely, jobs with higher requeriments of organisational, applying-rules and phyisical competences are worse paid. Results on total rewards suggest that jobs with higher requeriments of competences increase graduates´ satisfaction, the only exception being applying-rules competences.
Description18 pages, 4 tables.
Publisher version (URL)http://dx.doi.org/10.1007/s11233-004-2225-6
URIhttp://hdl.handle.net/10261/9874
DOIhttp://dx.doi.org/10.1007/s11233-004-2225-6
ISSN1358-3883
E-ISSN1573-1936
Appears in Collections:(INGENIO) Artículos
Files in This Item:
File Description SizeFormat 
AR12_1_Garcia%20et%20al%20for%20TEAM-Version%2019Feb.pdf229,42 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.