Leader: Danilo Cavapozzi (UNIVE); Other collaborator(s): Luisa Errichiello (CNR), Alessandro ROSINA (UNICATT)
Estimate through statistical/econometric models and scenario-models the impact of automation for older workers and their productivity, taking into account the cognitive content of jobs and the role of health (routine jobs versus non-routine jobs). Estimate elasticities of substitution between different forms of capital and different types of human capital in relation to age. Make use of estimates of ICT knowledge by age. Matched employer-employee – job characteristics – O*Net data)..Analyse the effects of the digital transition and the green transition on the young-old relative labour demand and estimate the substitution elasticity of young-old employment within the firm. Relate this to retirement decision, particularly pathways to retirement, , taking into account possible displacement effects on work of new technology. Use the HCAP (Harmonised Cognitive Assessment Protocol) module of SHARE data to link to cognitive abilities of individuals.
Brief description of the activities and of the intermediate results:
Effect of remote working on the labour supply of older workers based on the SHARE Corona Survey with info on several aspects of the pandemic: employment, missing skills for ICTs skill development to carry out remote work. The sharp increase in the adoption of remote working as been a game shifter on terms of work organization in terms of the number of hours worked, the provision of informal care to older parents and grandchildren, avoiding or reducing commuting time.
Main policy, industrial and scientific implications
First estimates of the relevance for the organization of work and the investment in ICT skills
1. A detailed map of individuals’ working career looking at fragmented working paths and the consequences on workers’ contribution to social security and for eligibility for a pension at older age.
2. Estimates of the impact of tertiary education availability on long-term labor market outcomes.
3. Estimates of the impact of the digital and green transition on the employability of older workers.
4. Estimates of organizational well-being on firm-level turnover rates and the overall financial performance of firms, as measured by per capita value added and by Return On Assets (ROA) indicators.
5. Estimates of the relevance for the organization of work and the investment in ICT skills and about the role of social partnerships and collective bargaining for counterbalancing risks of job insecurity and difficulty to make ends meet of older workers.
Brief description of the activities and of the intermediate results:
We assembled a longitudinal dataset based on SHARE following older workers over time. This dataset has been combined with indicators of the greenness of jobs released by O*NET. Merging these two datasets has been made possible by exploiting the crosswalk converting the original taxonomy of jobs in O*NET into the ISCO-08 classification (the latest version of the International Standard Classification of Occupations, released in 2008), which the SHARE survey uses to classify the jobs of respondents found at work.
Main policy, industrial and scientific implications:
We are then in the position of assessing whether and how older workers carrying out green jobs differ from their counterparts carrying out non-green jobs, in terms of individual and occupational characteristics.
Brief description of the activities and of the intermediate results:
The employment consequences of the green jobs of older workers", Danilo Cavapozzi and Federico de Luca. We utilized the complete longitudinal dimension of SHARE (nine waves) to reconstruct a set of job characteristics for individuals who were employed at the time of the SHARE interviews. Among other features, these job characteristics include the ISCO-08 and industry codes. This dataset has been merged with O*NET, which is a survey collecting an extensive array of job attributes, including whether a job can be classified as green or not. We are using this combined dataset to understand whether the labour supply dynamics of older workers depends on the greenness of their jobs and how this relationship varies within the population.
Main policy, industrial and scientific implications:
The employment consequences of the green jobs of older workers", Danilo Cavapozzi and Federico de Luca. Our project aims at assessing how the green transition is affecting the labour supply dynamics of older workers. On the one hand, green transition can challenge the skills of older workers, who typically face a higher risk of human capital obsolescence. The inability to cope with the technological innovations associated with the green transitions may lead to an anticipation of the exit from the labour market due to retirement or to an increased risk of unemployment. On the other hand, green jobs can spur training investments and foster older individuals’ employment as long as the demand of green products and services continue to grow in the future. This analysis is important to have a deeper understanding of the consequences of the ongoing green transition and to develop policies that preserve the socioeconomic inclusion of older workers.
Dissemination Events:
Scientific Output