How does immigration affect support for redistribution? While most research focuses on overall tax and spending levels, we investigate how immigration influences preferences conditional on tax structures. Using two original survey experiments in the UK, we find that low- and middle-income respondents are more likely to support redistribution to immigrants under progressive systems shielding them from fiscal costs, but oppose redistribution when immigrants are identified as beneficiaries and the tax structure increases their fiscal burden. In contrast, high-income respondents' preferences are largely unaffected by either tax structure or immigrant inclusion. These findings suggest that progressive taxation (1) is a viable revenue-generating strategy without provoking major political backlash; (2) reduces native resistance to immigrant welfare inclusion; (3) helps explain puzzling variation in immigration's effects on welfare attitudes; and (4) clarifies why low- and middle-income groups sometimes reject generous welfare programs despite standing to benefit. Our results highlight the importance of institutional design in shaping how economic self-interest and immigration concerns interact.

Nach einem mehrjährigen Abschwung hat im Verlauf des vergangenen Jahres eine Erholung eingesetzt. Während die exportorientierte Industrie angesichts weiter abnehmender Wettbewerbsfähigkeit, hoher geopolitischer Unsicherheit und fortbestehender handelspolitischer Belastungen kaum Tritt fasste, wurde die Erholung maßgeblich von der Binnenwirtschaft getragen. Der Energiepreisschock, der durch den Iran-Krieg ausgelöst wurde, dämpft die Erholung, dürfte sie aber nicht vollständig zum Erliegen bringen. Dafür sorgt der erheblich expansive Kurs der Finanzpolitik, der vor allem Unternehmen der Verteidigungsindustrie und des Tiefbaus stützt. Im Großteil des Verarbeitenden Gewerbes bleibt die Lage jedoch verhalten. 

Das Bruttoinlandsprodukt dürfte in diesem Jahr um 0,6% und im Jahr 2027 um 0,9% zunehmen, nachdem die Wirtschaftsleistung im Vorjahr mit einem Anstieg von 0,2% kaum mehr als stagniert hat. Im Vergleich zum Herbstgutachten 2025 haben die Institute damit ihre Prognose für das laufende Jahr deutlich um 0,6 Prozentpunkte und für das kommende Jahr um 0,4 Prozentpunkte nach unten korrigiert.

In this paper, we use granular trading data from Taiwan between 2012 and 2016 to examine how local social capital influences retail investor behavior during corporate social irresponsibility (CSIR) events. Therefore, we are responding to longstanding calls in the international finance literature to explore investor behavior in non-US markets with distinct institutional and cultural characteristics. We find that investors residing in cities with higher social capital are less likely to purchase underpriced stocks following the announcements of negative events despite the potential for positive abnormal returns. This norm-driven restraint reflects a form of socially responsible investing motivated by community-based values rather than economic rationality. By documenting this behavior in an East Asian market, we extend the external validity of social norm theories developed in Western settings and contribute to a more nuanced understanding of how localized social preferences can influence asset pricing and capital allocation in a global context.

This study investigates the impact of inaccurate assumptions on economic forecast precision. We construct a new dataset comprising an unbalanced panel of annual German GDP forecasts from various institutions, taking into account their underlying assumptions. We explicitly control for different forecast horizons to reflect the information available at the time of release. Our analysis reveals that approximately 75% of the variation in squared forecast errors can be attributed to the variation in squared errors of the initial assumptions. This finding emphasizes the importance of accurate assumptions in economic forecasting and suggests that forecasters should transparently disclose their assumptions to enhance the usefulness of their forecasts in shaping effective policy recommendations.