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Fabrizio Pompei, Mirella Damiani and Alfred Kleinknecht’s paper, “Robots, skills and temporary jobs: evidence from six European countries” shows that in a “high knowledge cumulativeness” innovation regime, robot adoption reduces the probability of high-skilled workers being offered temporary job contracts. At the same time, automatisation did not significantly impact the situation of low- and medium-skilled workers.
The situation is different in “low-cumulativeness” regimes, where companies primarily use externally acquired knowledge in their innovation process. This makes workers more easily interchangeable, and robot adoption increases the probability of temporary contracts for both medium- and high-skilled workers, but leaves low-skilled workers unaffected.
These findings contribute to understanding the increasing share in Europe of temporary workers with tertiary education working as technicians and professionals, as observed by Eurofound.
Mirella Damiani, Fabrizio Pompei & Alfred Kleinknecht (2022): “Robots, skills and temporary jobs: evidence from six European countries”, Industry and Innovation.
The event in Cape Town on 14-15 December featured presentations of more than 60 papers; keynotes by Oriana Bandiera of the LSE and Ragui Assaad of the University of Minnesota and a policy panel devoted to youth unemployment in Africa.
Two Untangled researchers presented their research during the forum. Piotr Lewandowski discussed his work with Katarzyna Lipowska and Mateusz Smoter on the work from home model. The authors found that employers’ and employees’ attitudes toward work from home differ in terms of salary expectations and perceived productivity changes.
Zuzanna Kowalik (IBS) presented a paper written jointly with Piotr Lewandowski and Paweł Kaczmarczyk on the differences in job quality and working conditions between native and migrant platform workers in Poland.