Bezahlen Immobilienkäufer einen Aufpreis, um in einem kulturell vielfältigen Viertel zu leben? Eine neue Studie mit Daten aus Nordirland legt dies nahe. Um den Zusammenhang zwischen kultureller Vielfalt und Immobilienpreisen zu untersuchen, stützen sich die Forscher auf Daten aus der Zeit der britischen Kolonialisierung Irlands zu Beginn des 17. Jahrhunderts. Damals entstanden Nachbarschaften mit unterschiedlicher religiöser Zusammensetzung. Diese religiöse Zusammensetzung besteht bis heute. Diese Wohnviertel unterscheiden sich also kulturell, nicht jedoch hinsichtlich ihrer ethnischen und sozioökonomischen Merkmale. Die Ergebnisse zeigen: Im Durchschnitt erzielen Immobilien in kulturell vielfältigen Vierteln einen um fast 10% höheren Verkaufspreis als solche in religiös-kulturell homogenen Gebieten. Darin spiegelt sich eine höhere Nachfrage: Vielfältige Viertel sind für ein breiteres Spektrum potenzieller Käufer attraktiv. Dadurch steigt auch die Liquidität der Immobilien. Die Ergebnisse stehen in Kontrast zu früheren Studien, die einen negativen Zusammenhang zwischen Vielfalt und Immobilienpreisen belegten.

We study how idiosyncratic income risk shapes the aggregate and distributional effects of labor and capital income taxation in dynamic general equilibrium models. To this end, we compare a heterogeneous-agent (HA) model with uninsurable idiosyncratic labor productivity risk and a ten-representative-agent (TE) model in which households correspond to fixed wealth deciles without such risk. At the aggregate level, both models generate qualitatively similar responses; however, the HA model exhibits a smaller recessionary impact driven by precautionary savings behavior, which stabilizes investment. At the distributional level, the models differ sharply. In the HA framework, tax shocks trigger endogenous mobility across wealth deciles. These inter-decile transition dynamics tend to benefit lower deciles. In contrast, the TA model features fixed household positions. Our findings highlight that while simpler multi-representative-agent models can approximate aggregate dynamics well, they may miss important distributional adjustment channels. The relevance of these mechanisms ultimately depends on the empirical importance of mobility across the wealth distribution, pointing to a key trade-off between model simplicity and accuracy.

Der Klimawandel wirkt sich zunehmend auf die wirtschaftliche Entwicklung in aller Welt aus. Ärmere Haushalte sind dabei den Auswirkungen des Klimawandels stärker ausgesetzt und verletzlicher, sodass der Klimawandel die Ungleichheit wahrscheinlich noch verstärken wird. Politische Maßnahmen zur Verringerung der Treibhausgasemissionen können eine Verschärfung des Klimawandels verhindern, schaffen aber auch ökonomische Gewinner und Verlierer. In diesem Beitrag werden die kombinierten Auswirkungen des Klimawandels und ausgewählter politischer Maßnahmen zur Verringerung der Treibhausgasemissionen auf die wirtschaftliche Ungleichheit untersucht. Die Bewertung erfolgt anhand von acht Modellen für die integrierte Analyse von Klimawandel und wirtschaftlicher Entwicklung, die von verschiedenen Forscherteams unter Verwendung unterschiedlicher Annahmen und Methoden entwickelt wurden. Die Ergebnisse basieren auf historischen Daten und Zukunftsszenarien für zehn Länder in unterschiedlichen Entwicklungsstadien. Die Umsetzung einer ehrgeizigen Klimapolitik im Einklang mit dem Pariser Abkommen führt demnach zu einer geringeren Ungleichheit in der Zukunft als der Verzicht auf Maßnahmen zur Milderung des Klimawandels, auch wenn die Ungleichheit aufgrund der Kosten für die Reduzierung der Treibhausgasemissionen kurzfristig zunimmt. Die Verwendung der Einnahmen aus der Kohlenstoffbepreisung kann dazu beitragen, die Verteilungseffekte der Klimapolitik zu dämpfen und die Ungleichheit kurzfristig sogar zu verringern. Diese Ergebnisse unterstreichen die Rolle von Ausgleichsmechanismen bei der Gestaltung einer fairen und politisch durchsetzbaren Klimapolitik.

Syndicated loan data provided by DealScan is an essential input in banking research to answer urging questions on bank lending, e.g., in the presence of financial or geopolitical shocks or climate change. However, many data options raise the question of how to choose the estimation sample. We employ a standard regression framework analyzing bank lending during the financial crisis of 2007/08 to study how conventional but varying usages of DealScan affect the estimates. The key finding is that the direction of coefficients remains relatively robust. However, statistical significance depends on the data and sampling choice, and we provide guidelines for applied research.

Based on a sufficient statistics approach, we show how the state of technology of European industries relative to the rest of the world can be empirically assessed in a way that is simple in terms of computation, parsimonious in terms of data requirements, but still comprehensive in terms of information. The lack of systematic cross-industry correlation between export specialization and technological advantage suggests that standard measures of revealed comparative advantage only imperfectly capture a country’s technological prowess due to the concurrent influences of factor prices, market size, markups, firm selection and market share reallocation. These findings offer policy insights relevant to the EU’s external competitiveness debate, echoing several recommendations from the Draghi report. Achieving export specialization in key sectors requires more than just technological superiority.

Why are children with lower socioeconomic status (SES) substantially less likely to be enrolled in child care? We study whether barriers in the application process work against lower-SES children — the group known to benefit strongest from child care enrollment. In an RCT in Germany with highly subsidized child care (N = 607), we offer treated families information and personal assistance for applications. We find substantial, equity-enhancing effects of the treatment, closing half of the large SES gap in child care enrollment. Increased enrollment for lower-SES families is likely driven by altered application knowledge and behavior. We discuss scalability of our intervention and derive policy implications for the design of universal child care programs.

The establishment of the European Banking Union constitutes a major change in the regulatory framework of the banking system. Main parts are implemented via directives that show staggered transposition timing across EU member states. Based on the newly compiled Banking Union Directives Database, we assess how banks’ funding costs responded to the Capital Requirements Directive IV (CRD IV). Our findings show an upward trend in funding costs which is driven by an increase in cost of equity and partially offset by a decline in cost of debt. The diverging trends are most present in countries with an ex-ante lower regulatory capital stringency, which is in line with banks’ short-run adjustment needs but longer-run benefits from increased financial stability.

We investigate how a state's political corruption affects a resident firm's debt contracting and how a change in anti-corruption regulation alters the relation between corruption and loan contracting. Firms in more corrupt states are associated with significantly higher loan spreads and tighter loan covenants than firms in less corrupt states. Furthermore, the passage of the Dodd–Frank whistleblowing provision amplifies the conhcerns of banks about the detrimental impact of corruption due to the increased exposure of firms to whistleblowing threats. The detrimental impact of corruption is further amplified when a state has a higher level of whistleblowing involvement, when firms are located in more corrupt states or closer to the SEC office, and when the bank's state is less corrupt than the firm's state. In general, we document the externality of corruption in the debt financing of firms and the response of banks to changes in regulation.

Based on the sufficient statistics approach developed by Huang and Ottaviano (2024), we show how the state of technology of European industries relative to the rest of the world can be empirically assessed in a way that is simple in terms of computation, parsimonious in terms of data requirements, but still comprehensive in terms of information. The lack of systematic cross-industry correlation between export specialization and technological advantage suggests that standard measures of revealed comparative advantage only imperfectly capture a country’s technological prowess due to the concurrent influences of factor prices, market size, markups, firm selection and market share reallocation.