Madrid Housing Price and Mobility Effects of Airbnb Listings 2010-2018

A replication package for an economic study analyzing the causal impact of Airbnb on housing markets and residential mobility in Madrid. The dataset supports analysis of neighborhood-level effects from 2010 to 2018. It was created by Cayrua Chaves Fonseca for a paper published in SERIEs.

Use Cases

• Model the causal effect of entire-home Airbnb listings on annual residential inflows using a shift-share instrumental variable strategy.
• Analyze the relationship between short-term rental density and housing price changes at the neighborhood-year level.
• Conduct causal mediation analysis to test if price effects explain changes in residential mobility patterns.
• Investigate heterogeneous treatment effects, such as the concentration of reduced inflows among individuals without a college degree.

Strengths

• Data supports a published, peer-reviewed causal analysis in a major economics journal.
• Covers a 9-year panel from 2010 to 2018, capturing platform expansion.
• Includes an instrumental variable strategy based on spatial variation in tourist attractiveness.

Limitations

• The 3.8 MB size suggests a small dataset, likely limiting row count and feature richness.
• Data is specific to Madrid, Spain, limiting generalizability to other cities.
• Temporal coverage ends in 2018, making the data potentially stale for analyzing current market dynamics.

Provenance

Source

Replication package for a paper in SERIEs — Journal of the Spanish Economic Association.

Collection Method

Constructed for a neighborhood-year panel analysis using a shift-share instrumental variable strategy.

Time Range

2010 to 2018

Freshness

Data covers 2010-2018; package was last updated in April 2026.

Geography

Madrid, Spain (neighborhood-level)