Italian housing prices show 0.7 elasticity to population shifts
BDI Paper

Italian housing prices show 0.7 elasticity to population shifts

A Bank of Italy study examines the link between municipal population dynamics and residential housing prices across Italy from 2010 to 2025. Authors Luca Casolaro, Claudio Luccioletti, and Andrea Neri estimate a long-run price elasticity of 0.7 to population changes.

Mapping population shifts and property values

The study utilizes an annual panel dataset covering 7,785 Italian municipalities—about 98 percent of the national total—between 2010 and 2025.

Combining property price data from the Revenue Agency's real estate market observatory with demographic records from ISTAT, the authors investigate how residential values respond to population changes over time.

The empirical analysis reveals a long-run elasticity of approximately 0.7, indicating that a permanent 10 percent decrease in population associates with a roughly 7 percent decline in housing prices.

While short-run effects remain subdued due to the inherent inertia of real estate markets, price adjustments accumulate gradually over extended periods.

Urban centers versus inner areas

The research highlights significant regional heterogeneity across Italy's territory.

The statistical association between demographic trends and property prices is markedly stronger in non-inner municipalities and urban centers across the Center-North.

Conversely, the relationship weakens substantially in inner areas, where depopulation trends present different structural challenges.

Robustness checks, including cross-section variations and pandemic-era demographic shocks, confirm the stability of these findings across diverse empirical specifications.

Geography dictates value

The paper offers valuable granular insights into Italy's divergent regional property markets.

However, municipal-level aggregation risks masking intra-urban price disparities in major metropolitan areas.

Policymakers must account for these stark territorial divides when designing housing and regional development strategies.

Source: No. 1043 - Demographic trends and housing prices

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