Alumni
IWH Alumni The IWH maintains contact with its former employees worldwide. We involve our alumni in our work and keep them informed, for example, with a newsletter. We also plan…
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Compnet Training Program
CompNet Training Program Structure The course is made for autonomous online learning. It is structured in three modules : Beginners, Intermediate and Advanced. Each of them…
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Macroeconomic Reports
Macroeconomic Reports Local and global: IWH regularly provides current economic data – be it about the state of the East German economy, the macroeconomic development in Germany…
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East Germany
The Nasty Gap 30 years after unification: Why East Germany is still 20% poorer than the West Dossier In a nutshell The East German economic convergence process is hardly…
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Robots, Occupations, and Worker Age: A Production-unit Analysis of Employment
Liuchun Deng, Steffen Müller, Verena Plümpe, Jens Stegmaier
European Economic Review,
Vol. 170 (November),
2024
Abstract
We analyse the impact of robot adoption on employment composition using novel micro data on robot use in German manufacturing plants linked with social security records and data on job tasks. Our task-based model predicts more favourable employment effects for the least routine-task intensive occupations and for young workers, with the latter being better at adapting to change. An event-study analysis of robot adoption confirms both predictions. We do not find adverse employment effects for any occupational or age group, but churning among low-skilled workers rises sharply. We conclude that the displacement effect of robots is occupation biased but age neutral, whereas the reinstatement effect is age biased and benefits young workers most.
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Forecast Combination and Interpretability Using Random Subspace
Boris Kozyrev
IWH Discussion Papers,
No. 21,
2024
Abstract
This paper investigates forecast aggregation via the random subspace regressions method (RSM) and explores the potential link between RSM and the Shapley value decomposition (SVD) using the US GDP growth rates. This technique combination enables handling high-dimensional data and reveals the relative importance of each individual forecast. First, it is possible to enhance forecasting performance in certain practical instances by randomly selecting smaller subsets of individual forecasts and obtaining a new set of predictions based on a regression-based weighting scheme. The optimal value of selected individual forecasts is also empirically studied. Then, a connection between RSM and SVD is proposed, enabling the examination of each individual forecast’s contribution to the final prediction, even when there is a large number of forecasts. This approach is model-agnostic (can be applied to any set of predictions) and facilitates understanding of how the aggregated prediction is obtained based on individual forecasts, which is crucial for decision-makers.
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Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one of the four research departments (Financial Markets – Laws, Regulations and Factor Markets –…
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Past Events
Past Events 14. CompNet Annual Conference (Vilnius, 25-26 September 2025) The 14th CompNet Annual Conference, co-hosted with the Bank of Lithuania, took place on 25–26 September…
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13 CompNet Annual Conference
13th CompNet Annual Conference The 13th Annual Conference in Valletta, hosted by the Central Bank of Malta, was a resounding success. We extend our heartfelt thanks to everyone…
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8th CompNet Annual Conference
From Micro to Macro: Market Power, Firms’ Heterogeneity and Investment 8th Annual Conference of CompNet, jointly organized with IMF, EIB, ENRI and IWH, March 18-19 2019, European…
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