The Roy-Borjas model predicts that international migrants are less educated than nonmigrants because the returns to education are generally higher in developing (migrant-sending) than in developed (migrant-receiving) countries. However, empirical evidence often shows the opposite. Using the case of Mexico-U.S. migration, we show that this inconsistency between predictions and empirical evidence can be resolved when the human capital of migrants is assessed using a two-dimensional measure of occupational skills rather than by educational attainment. Thus, focusing on a single skill dimension when investigating migrant selection can lead to misleading conclusions about the underlying economic incentives and behavioral models of migration.

Wage mobility reduces the persistence of wage inequality. We develop a framework to quantify the contribution of employer-to-employer movers to aggregate wage mobility. Using three decades of German social security data, we find that inequality increased while aggregate wage mobility decreased. Employer-to-employer movers exhibit higher wage mobility, mainly due to changes in employer wage premia at job change. The massive structural changes following German unification temporarily led to a high number of movers, which in turn boosted aggregate wage mobility. Wage mobility is much lower at the bottom of the wage distribution, and the decline in aggregate wage mobility since the 1980s is concentrated there. The overall decline can be mostly attributed to a reduction in wage mobility per mover, which is due to a compositional shift toward lower-wage movers.

In a multi-sector and multi-region framework, this paper employs a dynamic general equilibrium model to analyze climate-resilient economic development (DGE-CRED) in Vietnam. We calibrate sector and region-specific damage functions and quantify climate variable impacts on productivity and capital formation for various shared socioeconomic pathways (SSPs 119, 245, and 585). Our results based on simulations and cost-benefit analyses reveal a projected 5 percent reduction in annual GDP by 2050 in the SSP 245 scenario. Adaptation measures for the dyke system are crucial to mitigate the consumption gap, but they alone cannot sufficiently address it. Climate-induced damages to agriculture and labor productivity are the primary drivers of consumption reductions, underscoring the need for focused adaptation measures in the agricultural sector and strategies to reduce labor intensity as vital policy considerations for Vietnam’s response to climate change.

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.

Wage mobility reduces the persistence of wage inequality. We develop a framework to quantify the contribution of employer-to-employer movers to aggregate wage mobility. Using three decades of German social security data, we find that inequality increased while aggregate wage mobility decreased. Employer-to-employer movers exhibit higher wage mobility, mainly due to changes in employer wage premia at job change. The massive structural changes following German unification temporarily led to a high number of movers, which in turn boosted aggregate wage mobility. Wage mobility is much lower at the bottom of the wage distribution, and the decline in aggregate wage mobility since the 1980s is concentrated there. The overall decline can be mostly attributed to a reduction in wage mobility per mover, which is due to a compositional shift toward lower-wage movers.

Die grüne Transformation, verstanden als ein Prozess, Energie zunehmend treibhausgasneutral zu erzeugen, kann mit marktwirtschaftlichen Instrumenten und dafür erforderlichen Rahmenbedingungen kostengünstiger umgesetzt werden als mit staatlicher Steuerung des Energieverbrauchs und der Energieerzeugung. Kosteneffizienz ist von entscheidender Bedeutung für die Bereitschaft und Fähigkeit der Bevölkerung, die Lasten der Transformation zu tragen, und für eine gerechte Verteilung der Lasten.

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.