We build a granular dataset of residential property yields using rental and sale listings from a major German real estate platform. With more than 1.5 million property-level rent-to-price ratios, we document a novel heterogeneity puzzle. About two-fifths of yield dispersion remains unexplained after controlling for extensive observable property characteristics and postal code-level time-varying factors using fixed effects. When we absorb finer neighborhood amenities through richer fixed effects, the unexplained share remains close to one-third. This evidence points to the importance of investors’ beliefs and preferences—rather than several alternative explanations we test—as sources of heterogeneity in risk premia.

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.

Real estate is a capstone connection between various economic agents and markets. It is the main store of household wealth, serves as collateral for mortgage loans in the banking system, aids the transmission of monetary policy, and can propagate financial crises when overvalued. Yet comparable house-price data across the European Union (EU) and the euro area is unavailable, which hinders the design and evaluation of common monetary and economic policy that operates across heterogeneous housing markets. We derive monthly subnational European Real Estate Indicators (EREI) from online residential property advertisements in 16 European countries. The release covers April 2024 to June 2026 and contains 48,168 region-month-segment observations for 1,154 NUTS 3 regions, aggregating more than 43 million listing observations across the monthly sale and rental cross-sections. Each region-month segment reports the number of advertisements and summary statistics for asking prices per square meter and listing durations. The release also includes sale-segment indices for Europe, the euro area, and individual countries. Thirteen covered countries are EU members, which represented 85% of EU-27 gross domestic product in 2024. EREI data support research on a wide range of socio-economic phenomena associated with real estate dynamics, such as the evaluation of monetary policy or macroprudential policy effects on financial stability.

We show that online listing prices closely approximate transaction prices across Europe. Our validation uses the IWH European Real Estate Index (EREI), a near-real-time database of monthly purchase prices, rents, listing counts, and time on market for 1,154 NUTS-3 regions in 16 countries since April 2024. With publication lags as short as one month, validated listing prices offer a timely, comparable complement to official house price statistics. Purchase price levels correlate between 0.94 and 0.97 with transaction prices in the five most populous markets, while calibration slopes range from 0.95 to 1.00. Aggregate listing prices exceed benchmark transaction prices by 13% to 22%.