Skill-Biased Technical Change: Theoretical Concepts, Empirical Problems and a Survey of the Evidence
Sanders, Mark and ter Weel, Bas (2000). Skill-Biased Technical Change: Theoretical Concepts, Empirical Problems and a Survey of the Evidence. UNU-MERIT Research Memoranda. UNU-MERIT.
Document type:
Report
Collection:
-
Attached Files (Some files may be inaccessible until you login with your UNU Collections credentials) Name Description MIMEType Size Downloads rm2000-012.pdf PDF application/pdf 257.73KB -
Sub-type Working paper Author Sanders, Mark
ter Weel, BasTitle Skill-Biased Technical Change: Theoretical Concepts, Empirical Problems and a Survey of the Evidence Series Title UNU-MERIT Research Memoranda Volume/Issue No. 12 Publication Date 2000 Place of Publication Maastricht, NL Publisher UNU-MERIT Pages 78 Language eng Abstract The structure of wages and employment has shifted against the low-skilled in many OECD countries over the last decade. Many authors have attributed this shift to the impact of new technologies, and or technical change in general. This paper investigates and structures the growing body of literature on skill-biased technical change (SBTC) by first presenting a model in which SBTC is formalised and decomposed into factor and sector biases of technical change. We show that as we go down to the job level the scope for pure within unit-skill bias decreases and between-unit effects explain the within-unit effects detected at higher aggregation levels. Second, we address some potential sources of skill bias, which are learning, R&D, human capital formation, organisational change and the introduction of new general purpose technologies. Finally we present some conceptual and practical problems we encounter when studying SBTC empirically. We conclude with a survey of selected empirical literature on the subject and discuss the results in light of the empirical and theoretical problems pointed out above. Copyright Holder UNU-MERIT Copyright Year 2000 Copyright type All rights reserved -
Citation counts Search Google Scholar Access Statistics: 794 Abstract Views, 1737 File Downloads - Detailed Statistics Created: Fri, 13 Dec 2013, 13:01:24 JST