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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05.09.2024 • 24/2024
Moderate economic growth in the world – German economy continues to stagnate
Production in Germany has been stagnating for two years and is roughly the same level as shortly before the outbreak of the pandemic. Investment of firms is particularly weak. An important reason for fewer investments is the sluggish export business. Private households are also holding back on consumption, mainly due to concerns about the longer-term economic outlook. According to the autumn forecast of the Halle Institute for Economic Research (IWH), gross domestic product in Germany is likely to stagnate in 2024 and to increase by 1.0% in 2025 as capacity utilisation normalises. In June, the IWH forecast had still assumed a growth of 0.3% in 2024 and of 1.5% in 2025. In East Germany, gross domestic product will increase by 0.3% this year and by 0.9% in 2025.
Oliver Holtemöller
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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,
No. 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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Media Response
Media Response June 2025 Oliver Holtemöller: Eine Frage der Ideologie in: nd DER TAG, 28.06.2025 Steffen Müller: 13,90 Euro pro Stunde - aber zu welchem Preis? in: FOCUS Online,…
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“Best Research Environment 2024”: IWH Financial Markets Department among the winning teams The IWH Financial Markets Department is one of ten scientific teams to receive the…
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IWH Research Network in Economics
IWH Research Network in Economics (IWH-ReNEc) The Halle Institute for Economic Research (IWH) conducts its research projects in cooperation with external researchers. The IWH…
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Import Shocks and Voting Behavior in Europe Revisited
Annika Backes, Steffen Müller
European Journal of Political Economy,
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
Otto-von-Guericke-Universität Magdeburg, PhD Thesis,
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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Research Data Centre
Research Data Centre (IWH-RDC) Direct link to our Data Offer The IWH Research Data Centre offers external researchers access to microdata and micro-aggregated data sets that…
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