CESifo Working Paper No. 9703
When workers are displaced from their jobs in mass layoffs or firm closures, they experience lasting adverse labor market consequences. We study how these consequences vary with the amount of skill mismatch that workers experience when returning to the labor market. Using novel measures of skill redundancy and skill shortage, we analyze individuals' work histories in Germany between 1975 and 2010. We estimate difference-in-differences models, using a sample in which we match displaced workers to statistically similar non-displaced workers.
Project deliverable 1.1
This paper addresses one of the core objectives of WP1 within PILLARS, that is taking stock of the extant literature and evidence on the effects of technological change on labour outcomes and represents Deliverable 1.1 (D1.1). D1.1 systematically reviews the literatures that study at least one of the intersections between the three main factors (technology, trade and regional industrial transformations) that affect labour markets, in terms of employment and wage distribution.
Project deliverable 1.4
In this project we examine the relationship between the rise and decline of industries and the wage distribution at the regional scale. We did a study on NUTS-2 regions in Europe, for which we combined information from different data sources. Our preliminary results show that entry of industries is only associated with higher wages in regions if they are related to the existing industrial structure of the region. Exiting industries are associated with lower wages in regions in general, but exiting industries related to existing industries are linked to higher wages in regions.
CESifo Working Paper No. 9438
This paper provides empirical evidence on the complex role played by technology in affecting the relationship between the participation of EU countries and industries in Global Value Chains (GVCs) and their employment structure over the period 2000-2014. The empirical analysis is based on country/industry level data for 21 EU countries on employment, trade in value added, patents and investments in intangible assets, and focusses on backward linkages within GVCs.
Research Policy Volume 50, Issue 7, September 2021
In order to better understand the complex and dialectical relationships between digital technologies, innovation, and skills, it is necessary to improve our understanding of the coevolution between the trajectories of connected digital technologies, firm innovation routines, and skills formation. This is critical as organizations recombine and adapt digital technologies; they require new skills to innovate, learn, and adapt to evolving digital technologies, while digital technologies change the codification of knowledge for productive and innovative activities.
in: Lee, Jeong-Dong, Lee, Keun, Meissner, Dirk, Radosevic, Slavo and Vonortas, Nicholas (eds.), The challenges of technology and economic catch-up in emerging economies, Oxford University Press, 2021.
The chapter proposes the foundations of an analytical framework to identify innovation pathways that lead to inclusive structural change in low- and medium-income countries (LMICs).