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%.

We study how and why local biodiversity affects residential property values. Leveraging remotely sensed greenness indicators and a novel dataset of granular property listings, we examine how changes in vegetation load on real estate prices. Hikes in greenness are associated with higher listing prices, fewer properties listed, and reduced liquidity in housing markets. These results suggest that price hikes in housing markets are driven by supply-side constraints instead of a “greenium” that buyers might be willing to pay due to innate preferences. Exogenous zoning shocks to foster biodiversity corroborate the presence of supply side constraints as price drivers in residential housing markets. Our findings emphasize the need to calibrate biodiversity and (social) housing policy objectives more explicitly.

We exploit staggered real estate transaction tax (RETT) hikes across German states to identify the effect of house price changes on mortgage credit supply. Based on approximately 33 million real estate online listings, we construct a quarterly hedonic house price index (HPI) between 2008:q1 and 2017:q4, which we instrument with state-specific RETT changes to isolate the effect on mortgage credit supply by all local German banks. First, a RETT hike by one percentage point reduces HPI by 1.2%. This effect is driven by listings in rural regions. Second, a 1% contraction of HPI induced by an increase in the RETT leads to a 1.4% decline in mortgage lending. This transmission of fiscal policy to mortgage credit supply is effective across almost the entire bank capitalization distribution.

Research using historical data from Northern Ireland indicates that house prices are higher in more diverse neighbourhoods. Housing policy should focus on regenerating neighbourhoods, improving public services and fostering social integration.

Banks have been operating in a low interest rate environment paired with booming housing markets. For the largest banks in the euro area and the period 2015-2022, we assess whether banks reallocate their foreign loan portfolio backed by real estate as a response to differences in local lending spreads across the home and destination country and conditional on reduced information frictions due to borrowing-country exposures. The main result is that the relative share of foreign real estate backed lending increases in case of return opportunities, and this sensitivity depends on local exposures towards the borrowing country. The result is driven by subsamples for which neither the home nor the borrowing country have implemented macroprudential regulation targeting real estate lending, or for which there is a misalignment in macroprudential policies. Nevertheless, we find limited evidence that the riskiness of real estate backed loans goes up during our sample period, and we discuss potential reasons for this result including the possibility of hidden losses.