IWH-DPE in a Nutshell
IWH-DPE in a Nutshell The IWH Doctoral Programme in Economics (IWH-DPE) is the unit that organises the education of doctoral students at the IWH in close cooperation with partner…
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Organisation of Research
Tasks of the IWH Guided by its mission statement , the IWH places the understanding of the determinants of long term growth processes at the centre of the research agenda. Long…
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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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Vocational Training
Vocational Training at IWH At the Halle Institute for Economic Research (IWH) the state-approved professions specialist in media and information services (m/f/x) [library] ,…
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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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10th CompNet Annual Conference
10th CompNet Annual Conference This year CompNet celebrates its 10th Annual Conference, together with Banque de France as co-host, which took place in Paris. The topic of the…
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2nd CompNet Data Provider Forum
2nd CompNet Data Provider Forum IWH 6th-7th May 2019 Halle (Saale), Germany To prepare the data collection for the 7th round and also to offer a platform for vivid exchange,…
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Risky Oil: It's All in the Tails
Christiane Baumeister, Florian Huber, Massimiliano Marcellino
NBER Working Paper,
No. 32524,
2024
Abstract
The substantial fluctuations in oil prices in the wake of the COVID-19 pandemic and the Russian invasion of Ukraine have highlighted the importance of tail events in the global market for crude oil which call for careful risk assessment. In this paper we focus on forecasting tail risks in the oil market by setting up a general empirical framework that allows for flexible predictive distributions of oil prices that can depart from normality. This model, based on Bayesian additive regression trees, remains agnostic on the functional form of the conditional mean relations and assumes that the shocks are driven by a stochastic volatility model. We show that our nonparametric approach improves in terms of tail forecasts upon three competing models: quantile regressions commonly used for studying tail events, the Bayesian VAR with stochastic volatility, and the simple random walk. We illustrate the practical relevance of our new approach by tracking the evolution of predictive densities during three recent economic and geopolitical crisis episodes, by developing consumer and producer distress indices that signal the build-up of upside and downside price risk, and by conducting a risk scenario analysis for 2024.
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Guiding Theme and Research Profile
Tasks of the IWH Guided by its mission statement , the IWH places the understanding of the determinants of long term growth processes at the centre of the research agenda. Long…
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