The recent moderate pace of the global economy will continue for the time being. In Europe, the economy is likely to pick up slightly from the winter half-year 2024/2025. In Germany, the sluggish export business in particular is providing a lack of economic impetus. However, private consumption will contribute to a slight economic recovery in the winter half-year. Gross domestic product is likely to stagnate in 2024 and grow by 1.0% in 2025.

We estimate potential regional industrial effects in case of a threatening gas deficit. For Germany, the reduction leads to a potential decrease in industrial value added by 1.6 %. The heterogeneity across German states is remarkable, ranging from 2.2 % for Rhineland-Palatinate to 0.7 % for Hamburg. We emphasize the need for regional input-output tables to conduct economic analysis on a sub-national level, particularly when regional industrial structures are heterogeneous. The approximation with national figures can lead to results that differ both in magnitude and relative regional exposure. Our findings highlight that more accurate policy guidance can be achieved by improving the regional database.

The Mannheim Enterprise Panel linked to the Establishment History Panel (MUP-BHP) is made up of cross-sectional data sets from 2010 onwards. Each cross-section includes all limited liability companies (GmbH) from the Mannheim Company Panel (MUP) and their permanent establishments throughout Germany that are recorded in the Establishment History Panel (BHP) (BeH) as of 31.12. This linking of establishments and businesses is based on a record linkage of the address data of the MUP held by the Leibniz Centre for European Economic Research and the business address data at the IAB. The individual cross-sectional data sets contain information on the establishments and companies as well as an additional file on shareholders. The data sets can be linked to form a panel. This data report describes the Mannheim Enterprise Panel linked to the Establishment History Panel (MUP-BHP) 2010-2020.

Die Aussichten für die internationale Konjunktur bleiben leicht eingetrübt. In Europa setzt sich die zaghafte Erholung fort. In Deutschland vermehren sich die Anzeichen für eine konjunkturelle Besserung. Alles in allem wird die Produktion im Sommerhalbjahr wohl nur verhalten ausgeweitet, doch ab Herbst dürfte die Belebung Fahrt aufnehmen. Das Bruttoinlandsprodukt dürfte im Jahr 2024 um 0,3% expandieren, für 2025 prognostiziert das IWH einen Zuwachs um 1,5%.

Fußball-Welt- und Europameisterschaften sind große gesellschaftliche Ereignisse. Gesamtwirtschaftlich fallen sie in großen Volkswirtschaften mit bestehender Sport- und Verkehrsinfrastruktur und vorhandenen Kapazitäten im Gastgewerbe allerdings kaum ins Gewicht. In diesem Beitrag werden Studien zu den ökonomischen Effekten von Sportgroßveranstaltungen zusammengefasst, die wirtschaftlichen Effekte der Fußball-Weltmeisterschaft 2006 in Deutschland untersucht und daraus die zu erwartenden gesamtwirtschaftlichen Effekte der Fußball-Europameisterschaft 2024 in Deutschland abgeleitet. Die Bauaktivität in den Spielorten nimmt im Vorfeld der Meisterschaften zu; Effekte auf das Gastgewerbe gibt es hingegen kaum – vermutlich vor allem aufgrund von Verdrängungseffekten. Insgesamt war die gesamte nominale Bruttowertschöpfung im WM-Jahr 2006 in den Spielorten gut 1% höher als ohne die WM zu erwarten gewesen wäre; in realer Rechnung ist insgesamt kein signifikanter Effekt zu beobachten.

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.