Occupational transitions

Abstract

This work contributes to the "Jobs and Skills" module of the Going Digital horizontal project and to the Skills Outlook 2019 on Skills and Digitalisation. It results from the cooperation between the Directorate for Education and Skills (EDU) and the Directorate for Science, Technology and Innovation (STI). The paper was prepared Elodie Andrieu, Luca Marcolin and Mariagrazia Squicciarini of STI and by Stéphanie Jamet of EDU, for the Working Party on Industry Analysis (WPIA). The paper was approved and declassified by the Committee on Industry Innovation and Entrepreneurship (CIIE) on 14-15 November 2018 and prepared for publication by the OECD Secretariat. This publication is a contribution to the OECD Going Digital project, which aims to provide policymakers with the tools they need to help their economies and societies prosper in an increasingly digital and data-driven world.

Occupational mobility, skills and training needs

“…This study is complemented by work (Andrieu et al, 2019) estimating the monetary cost of such transitions with cost estimates declined by occupation, by (re)training spell length and by subdividing the overall cost into the direct cost of training (i.e. how much providing or purchasing the training required costs) and the opportunity cost of training.…”

“…The analysis here and the cost analysis in Andrieu et al (2019) are both performed on the pooled sample of data from all countries in PIAAC and on country clusters' data, with the aim to uncover general patterns and to maximise the precision of the estimates and of the policy implications emerging from the analysis. Source: Authors' own compilation based on PIAAC (2012, 2015).…”

“…how much providing or purchasing the training required costs) and the opportunity cost of training. The latter is intended as the forgone salaries of the workers that, instead of working, participate in training spells (see Andrieu et al, 2019, for details).…”

Going Digital integrated policy framework

“…Digital technology diffusion crucially depends on firms' investment in ICTs as well as public investment in infrastructure and equipment. For example, investment in high-speed broadband infrastructure positively affects the adoption of digital technologies (Andrews, Nicoletti and Timiliotis, 2018 [28]). Effective use of technologies further requires investment in complementary assets, knowledge-based capital (KBC) in particular, including R&D, data, design, new organisational processes, and firm-specific skills.…”

“…Policies that can affect competitive pressure and business dynamism, and in turn technology diffusion and better resource allocation, include: labour market regulations, employment protection legislation, and the design of insolvency regimes, e.g. less penalising sanctions for bankruptcy and lower barriers to corporate restructuring of insolvent firms (Andrews, Nicoletti and Timiliotis, 2018 [28]); (Adalet McGowan and Andrews, 2018 [35]); (Sorbe et al, 2019[36]).…”