000085410 001__ 85410 000085410 005__ 20210706095622.0 000085410 0247_ $$2doi$$a10.1108/IJM-07-2018-0207 000085410 0248_ $$2sideral$$a113672 000085410 037__ $$aART-2019-113672 000085410 041__ $$aeng 000085410 100__ $$aLentini, Valeria 000085410 245__ $$aDepreciation of human capital: a sectoral analysis in OECD countries 000085410 260__ $$c2019 000085410 5060_ $$aAccess copy available to the general public$$fUnrestricted 000085410 5203_ $$aPurpose The purpose of this paper is to investigate which sectors are more vulnerable to human capital depreciation, with an emphasis on potential differences in skills and in ICT intensities. Design/methodology/approach The authors estimate an extended Mincerian earnings equation based on Neuman and Weiss’s (1995) model using the EU-KLEMS international database for 15 sectors for the period from 1980 to 2005. The authors also test structural ruptures in earnings and human capital depreciation in the labor market per decade controlling by technological intensity. Findings Human capital depreciation ranges from 1 to 6 percent. It is mainly significant in skill-intensive sectors regardless of the sector’s technological intensity. The analysis of structural breaks shows that human capital value indeed changed from decade to decade. It even appreciated in low skill-intensive sectors in the 1980s and in the high skill-intensive during the 1990s. Appreciation though, was mainly skill-biased. Research limitations/implications Information about on-the-job-training and non-cognitive skills that can also affect human capital depreciation are not included due to lack of data. Practical implications To prevent human capital from depreciating in particular sectors and periods educational systems should provide the tools for ongoing lifelong learning at all skills levels. Education is subject to dynamic effects that should be addressed to increase the potential benefits of technological change. Originality/value First, instead of using cross-section analysis which is considered to be a pitfall in studying the depreciation of knowledge, the authors observe its dynamic on a longitudinal basis. Second, the international macro-sectoral approach goes beyond limited micro-sectoral analysis in certain countries. 000085410 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000085410 590__ $$a0.953$$b2019 000085410 591__ $$aINDUSTRIAL RELATIONS & LABOR$$b21 / 30 = 0.7$$c2019$$dQ3$$eT3 000085410 591__ $$aMANAGEMENT$$b202 / 226 = 0.894$$c2019$$dQ4$$eT3 000085410 592__ $$a0.399$$b2019 000085410 593__ $$aManagement of Technology and Innovation$$c2019$$dQ2 000085410 593__ $$aStrategy and Management$$c2019$$dQ2 000085410 593__ $$aOrganizational Behavior and Human Resource Management$$c2019$$dQ2 000085410 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000085410 700__ $$0(orcid)0000-0003-3702-4017$$aGimenez, Gregorio$$uUniversidad de Zaragoza 000085410 7102_ $$14008$$2225$$aUniversidad de Zaragoza$$bDpto. Estruc.Hª Econ.y Eco.Pb.$$cÁrea Economía Aplicada 000085410 773__ $$g40, 7 (2019), 1254-1272$$pInt. j. manpow.$$tINTERNATIONAL JOURNAL OF MANPOWER$$x0143-7720 000085410 8564_ $$s187432$$uhttps://zaguan.unizar.es/record/85410/files/texto_completo.pdf$$yPostprint 000085410 8564_ $$s78894$$uhttps://zaguan.unizar.es/record/85410/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000085410 909CO $$ooai:zaguan.unizar.es:85410$$particulos$$pdriver 000085410 951__ $$a2021-07-06-09:51:21 000085410 980__ $$aARTICLE