Age‐biased Technical and Organizational Change, Training and Employment Prospects of Older Workers

Behaghel, Luc; Caroli, Ève; Roger, Muriel

doi:10.1111/ecca.12078

Cited by 50 publications

(33 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this vein, there is also a literature that focuses on how older workers are affected by new technologies. Most confirm that older workers make less use of ICT or computers (Friedberg, 2003;Schleife, 2006;de Koning and Gelderblom, 2006), but evidence on how their labor market outcomes are affected is mixed (Borghans and ter Weel, 2002;Aubert et al, 2006;Schleife, 2006;Beckmann and Schauenberg, 2007;Rønningen, 2007;Behaghel et al, 2014). 10 Most recently, Acemoglu and Restrepo (2018) find that robots substitute for middle-aged workers, and also provide evidence for the reverse causal direction: aging is associated with more automation across countries and also U.S. commuting zones.…”

Section: Related Literaturementioning

confidence: 99%

Who is afraid of machines?

2019

View full text Add to dashboard Cite

SUMMARY We study how various types of machines, namely, information and communication technologies, software and especially industrial robots, affect the demand for workers of different education, age and gender. We do so by exploiting differences in the composition of workers across countries, industries and time. Our data set comprises 10 high-income countries and 30 industries, which span roughly their entire economies, with annual observations over the period 1982–2005. The results suggest that software and robots reduced the demand for low- and medium-skill workers, the young and women – especially in manufacturing industries; but raised the demand for high-skill workers, older workers and men – especially in service industries. These findings are consistent with the hypothesis that automation technologies, contrary to other types of capital, replace humans performing routine tasks. We also find evidence for some types of workers, especially women, having shifted away from such tasks.

show abstract

Section: Related Literaturementioning

confidence: 99%

Who is afraid of machines?

2019

View full text Add to dashboard Cite

show abstract

“…Using rich employee-employer data for Norway, Haegeland et al (2007) reported that a firm's investment in new equipment and the introduction of new process technology increases the likelihood of early retirement by its employees. Other studies also found that the wage bill share of older workers is negatively correlated with the adoption of new technologies like ICT (Beckmann, 2007;Behaghel et al, 2014, Peng et al, 2017. On the other hand, technological change boosts productivity and thus wage levels, thereby encouraging older workers to remain in their jobs.…”

Section: Technology-induced Early Retirement and Its Interaction With Institutionsmentioning

confidence: 97%

Technology, Labour Market Institutions and Early Retirement: Evidence from Finland

et al. 2020

View full text Add to dashboard Cite

There are two major barriers to increasing employment of older workers. First, older workers engaged in codifiable, routine tasks are particularly prone to the risk of being displaced by computers and robots. Second, several countries have in place various labour market institutions that encourage early retirement, such as exceptional entitlements or looser criteria for unemployment and disability benefits applied to older individuals. We present evidence that these two factors reinforce each other to push older workers out of employment. We find that older workers who are more exposed to digital technologies are more likely to leave employment, and that this effect is significantly magnified when they are eligible to an extension of unemployment benefits until the earliest age for drawing old age pension. Furthermore, our findings imply that a policy reform that tightens the eligibility for the benefit extension would increase mostly the employment of older workers that are more exposed to digital technologies.

show abstract

“…The first objective of this article is to estimate the impact of workers' competencies on labour market opportunities. However, the acquisition of competencies is a cumulative process and skills can be acquired via different channels, not only formal education (Behaghel, Caroli, & Roger, ; OECD, ). Individual and family characteristics play a role in this process and, consequently, the distribution of these characteristics has an impact on the final distribution of competencies.…”

Section: Education Skills and Labour Market Outcomesmentioning

confidence: 99%

The distribution of skills among the European adult population and unemployment: A comparative approach

Calero

Choi

2017

Euro J of Education

View full text Add to dashboard Cite

The IEB research group in Human Capital aims at promoting research in the Economics of Education. The main objective of this group is to foster research related to the education and training of individuals and to promote the analysis of education systems and policies from an economic perspective. Some topics are particularly relevant: Evaluation of education and training policies; monetary and non-monetary effects of education; analysis of the international assessments of the skills of the young (PISA, PIRLS, TIMMS) and adult populations (PIAAC, IALS); education and equality, considering the inclusion of the disabled in the education system; and lifelong learning. This group puts special emphasis on applied research and on work that sheds light on policy-design issues. Moreover, research focused in Spain is given special consideration. Disseminating research findings to a broader audience is also an aim of the group. This research group enjoys the support from the IEB-Foundation.The Barcelona Institute of Economics (IEB) is a research centre at the University of Barcelona (UB) which specializes in the field of applied economics. The IEB is a foundation funded by the following institutions: Applus, Abertis, Ajuntament de Barcelona, Diputació de Barcelona, Gas Natural, La Caixa and Universitat de Barcelona. The IEB working papers represent ongoing research that is circulated to encourage discussion and has not undergone a peer review process. Any opinions expressed here are those of the author(s) and not those of IEB. Documents de Treball de l'IEB 2015/35 THE DISTRIBUTION OF SKILLS AMONG THE EUROPEAN ADULT POPULATION AND UNEMPLOYMENT:A COMPARATIVE APPROACH * Jorge Calero, Álvaro Choi ABSTRACT: The most painful effect of the Great Recession in European countries has been the surge in unemployment rates during a period that has been characterised most notably by an increase in income inequality and the heterogeneous pattern of this inequality by educational level. Thus, workers with low levels of educational attainment were among the first to lose their jobs. This paper addresses two main research questions: first, it estimates the importance of the level of skills and education on the probability of being unemployed; and, second, it provides evidence of the impact of inequalities in the previous socioeconomic and cultural background of individuals on the probability of being unemployed. These two objectives are assessed using data for 24 jurisdictions participating in the first round of the OECD's Programme for the International Assessment of Adult Competencies (PIAAC). Skill levels play a central role in explaining unemployment in Europe and act as an indirect channel via which a family's sociocultural background has an impact on its labour market status.JEL Codes: J24, J62, I24

show abstract

Age‐biased Technical and Organizational Change, Training and Employment Prospects of Older Workers

Cited by 50 publications

References 21 publications

Who is afraid of machines?

Who is afraid of machines?

Technology, Labour Market Institutions and Early Retirement: Evidence from Finland

The distribution of skills among the European adult population and unemployment: A comparative approach

Contact Info

Product

Resources

About