6th CompNet Annual Conference
Innovation, firm size, productivity and imbalances in the age of de-globalization 6 th CompNet Annual Conference, June 29-30, 2017, European Commission, Brussels, Belgium As the…
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2020 Annual Conference of the OECD Global Forum of Productivity
2020 Annual Conference of the OECD Global Forum of Productivity This year CompNet celebrates its 10th Annual Conference, together with Banque de France as co-host, which will…
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European Data Workshop in Paris
European Data Workshop in Paris 15 - 16 June 2023 While micro-data are becoming more and more important, there are several challenges related to access to such data. The most…
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ProdTalks
CompNet ProdTalks CompNet ProdTalks is a monthly recurring 1.5 hour virtual event, two selected papers will be presented including presentation, discussion and Q&A. The top ic…
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Virtual Conference on Sustainable development, firm performance and competitiveness policies in small open economies
Virtual Conference on Sustainable development, firm performance and competitiveness policies in small open economies This Conference has been jointly organised by CompNet and…
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1st CompNet Data User Conference
1st CompNet Data User Conference Since it is well established among researchers of productivity and competitiveness that macro data cannot answer all questions emerging in today's…
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ComProd Monitor
ComProd Monitor The CompNet monitor of Competitiveness and Productivity indicators ComProd is a comprehensive dataset of innovative and traditional indicators of competitiveness…
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Industry Mix, Local Labor Markets, and the Incidence of Trade Shocks
Steffen Müller, Jens Stegmaier, Moises Yi
Journal of Labor Economics,
Vol. 42 (3),
2024
Abstract
We analyze how skill transferability and the local industry mix affect the adjustment costs of workers hit by a trade shock. Using German administrative data and novel measures of economic distance we construct an index of labor market absorptiveness that captures the degree to which workers from a particular industry are able to reallocate into other jobs. Among manufacturing workers, we find that the earnings loss associated with increased import exposure is much higher for those who live in the least absorptive regions. We conclude that the local industry composition plays an important role in the adjustment processes of workers.
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Import Shocks and Voting Behavior in Europe Revisited
Annika Backes, Steffen Müller
European Journal of Political Economy,
Vol. 83 (June),
2024
Abstract
We provide first evidence for the long-run causal impact that Chinese imports to European regions had on voting outcomes and revisit earlier estimates of the short-run impact for a methodological reason. The fringes of the political spectrum gained ground many years after the China shock plateaued and, unlike an earlier study by Colantone and Stanig (2018b), we do not find any robust evidence for a short-run effect on far-right votes. Instead, far-left and populist parties gained in the short run. We identify persistent long-run effects of import shocks on voting. These effects are biased towards populism and, to a lesser extent, to the far-right.
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Advanced Technology Adoption: Determinants and Labor Market Effects of Robot Use
Verena Plümpe
PhD Thesis, Otto-von-Guericke-Universität Magdeburg,
2024
Abstract
The recent advances in automation technology, robotics in particular, have sparked a heated debate over the future of labor and human society at large. The ongoing process of robotization may engender profound impacts on various segments of the labor market. Given the far-reaching implications of robots, it is thus very important to understand the scale and scope of robot use and characteristics of robot users. However, the main challenge is the limited availability of robot data at the microeconomic level (Raj and Seamans, 2018). Due to the data constraint, the bulk of the existing literature relies on cross-country industry-level data from the International Federation of Robotics (IFR). The lack of micro-level robot data makes it difficult to paint a comprehensive picture of robotization in industrial settings, and perhaps more importantly, to assess how within-industry firm level heterogeneity manifests itself in robot use and adoption.
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