We investigate the predictive power of loan spreads for forecasting business cycles, specifically focusing on more constrained, intermediary-reliant firms. We introduce a novel loan-market-based credit spread constructed using secondary corporate loan-market prices over the 1999 to 2023 period. Loan spreads significantly enhance the prediction of macroeconomic outcomes, outperforming other credit-spread indicators. We also explore the underlying mechanisms and differentiate between borrower fundamentals and financial frictions. Evidence suggests that supply-side frictions are a decisive factor in the forecasting ability of loan spreads.

Utilizing near real-time QuickBooks data from over 1.6 million small businesses and a targeted survey, this paper highlights the critical role credit card financing plays for small business activity. We examine a two year period beginning in January of 2021. A turbulent period during which, credit card usage by small U.S. businesses nearly doubled, interest payments rose by 60%, and delinquencies reached 2.8%. We find, first, monthly credit card payments were up to three times higher than loan payments during this time. Second, we use targeted surveys of these small businesses to establish credit cards as a key financing source in response to firm-level shocks, such as uncertain cash flows and overdue invoices. Third, we establish the importance of credit cards as an important financial transmission mechanism. Following the Federal Reserve’s rate hikes in early 2022, banks cut credit card supply, leading to a 15.75% drop in balances and a 10% decline in revenue growth, as well as a 1.5% decrease in employment growth among U.S. small businesses. These higher rates also rendered interest payments unsustainable for many, contributing to half of the observed increase in delinquencies. Lastly, a simple heterogeneous firm model with a cash-in-hand constraint illustrates the significant macroeconomic impact of credit card financing on small business activity.

We study changes in job reallocation in Europe after 2000 using novel microaggregated data that we collected for 19 European countries. In all countries, we document broad-based declines in job reallocation rates that concern most economic sectors and size classes. These declines are mainly driven by dynamics within sectors, size, and age classes rather than by compositional changes. Simultaneously, employment shares of young firms decline. Consistent with US evidence, firms’ employment has become less responsive to productivity shocks. However, the dispersion of firms’ productivity shocks has decreased too. To enhance our understanding of these patterns, we derive and apply a firm-level framework that relates changes in firms’ market power, labor market imperfections, and production technology to firms’ responsiveness and job reallocation. Using German firm-level data, we find that changes in markups and labor output elasticities, rather than adjustment costs, are key in rationalizing declining responsiveness.

Kinder mit Migrationshintergrund besuchen im Vergleich zu Kindern ohne Migrationshintergrund deutlich seltener Kindertagesstätten (Kitas), obwohl gerade sie von einem Kitabesuch besonders profitieren würden. Ist sich die Bevölkerung dieser Diskrepanz bewusst? Und wie steht sie zu verschiedenen politischen Maßnahmen, die dieses Problem angehen? Wir untersuchen, ob Informationen über Ungleichheiten und Diskriminierung in der frühkindlichen Betreuung die Zustimmung der Bevölkerung zu gleichheitsfördernden Politikmaßnahmen beeinflussen. Dafür befragen wir 4 800 repräsentativ ausgewählte Personen aus der deutschen Bevölkerung. Es zeigt sich, dass die Befragten oft erhebliche Fehleinschätzungen über das Ausmaß der Ungleichheiten und Diskriminierung beim Kitazugang zwischen Familien mit und ohne Migrationshintergrund haben. Zufällig bereitgestellte Informationen über das tatsächliche Ausmaß dieser Diskrepanzen verringern die politische Polarisierung, d.h. Unterschiede in der Zustimmung zu Unterstützungsmaßnahmen für Familien mit Migrationshintergrund. Unsere Ergebnisse legen nahe, dass verzerrte Wahrnehmungen sozialer Ungleichheiten zu Meinungsunterschieden in der Bevölkerung beitragen. Ein besserer Informationsstand in der Bevölkerung könnte diese Polarisierung in der Zustimmung zu gleichheitsfördernden Politikmaßnahmen beim Zugang zu Kitas verringern.

Choosing a university and field of study is a key life decision that influences one’s lifelong earnings trajectory. Data shows that the share of individuals going to university is unequally distributed, and is lower among disadvantaged students. High-achieving students who are low income are less likely to opt for ambitious education paths, despite the high returns of education. Even among those students who decide to apply for college, the likelihood of whether they will apply to prestigious colleges or renowned study programs differs along the distribution of socioeconomic background. It does not only matter if you study, but also what and where you study, as there is a large variation in long-run outcomes, such as earnings, both between universities as well as between fields of study. Part of this mismatch can be attributed to unequal starting points for children, in terms of both institutional settings and the quality of information available within their close networks.

Das Mannheimer Unternehmenspanel verknüpft mit dem Betriebs-Historik-Panel (MUP-BHP) setzt sich aus Querschnittsdatensätzen ab dem Jahr 2010 zusammen. Jeder Querschnitt umfasst alle Gesellschaften mit beschränkter Haftung (GmbH) aus dem Mannheimer Unternehmenspanel (MUP) und deren Betriebsstätten des gesamtdeutschen Raumes, die in der Beschäftigten-Historik (BeH) zum Stichtag 31.12. erfasst sind. Diese Verknüpfung von Unternehmen und Betrieben liegt ein Record-Linkage der Adressdaten des vom Leibniz Institut für Europäische Wirtschaftsforschung gehaltenen MUP und der Betriebsadressdaten am IAB zugrunde. Die einzelnen Querschnittsdatensätze enthalten Informationen zu den Betrieben und Unternehmen sowie eine Zusatzdatei zu Gesellschaftern. Die Datensätze können zu einem Panel verbunden werden. Dieser Datenreport beschreibt das Mannheimer Unternehmenspanel verknüpft mit dem Betriebs-Historik-Panel (MUP-BHP) 2010–2020.