Depreciation of human capital: a sectoral analysis in OECD countries
Resumen: Purpose
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.

Idioma: Inglés
DOI: 10.1108/IJM-07-2018-0207
Año: 2019
Publicado en: INTERNATIONAL JOURNAL OF MANPOWER 40, 7 (2019), 1254-1272
ISSN: 0143-7720

Factor impacto JCR: 0.953 (2019)
Categ. JCR: INDUSTRIAL RELATIONS & LABOR rank: 21 / 30 = 0.7 (2019) - Q3 - T3
Categ. JCR: MANAGEMENT rank: 202 / 226 = 0.894 (2019) - Q4 - T3

Factor impacto SCIMAGO: 0.399 - Management of Technology and Innovation (Q2) - Strategy and Management (Q2) - Organizational Behavior and Human Resource Management (Q2)

Tipo y forma: Article (PostPrint)
Área (Departamento): Área Economía Aplicada (Dpto. Estruc.Hª Econ.y Eco.Pb.)

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 Record created 2019-11-18, last modified 2021-07-06


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