Santa Monica Airbnb Listings and Rental Price Analysis

20.8 MB of data supports a study on the impact of Santa Monica's Home-Sharing Ordinance on short-term rental markets. The replication package contains the data and code used to find a 60% decrease in entire-home Airbnb listings two years post-regulation, with no significant effect on long-term rents. It was authored by Cayrua Chaves Fonseca and last updated in April 2026.

Use Cases

• Replicate the Synthetic Control Method analysis to estimate causal effects on Airbnb_listing_count using pre- and post-regulation time-series data.
• Analyze the relationship between ordinance_enforcement_date and variables like entire_home_listings and long_term_rental_prices.
• Model regulatory impact by joining datasets on geographic_units like census tracts or zip codes within Santa Monica.
• Validate the study's finding of no rent effect by testing alternative model specifications on the provided rental_price data.

Strengths

• Data underpins a peer-reviewed working paper with a clear causal finding: a 60% decrease in entire-home listings.
• Replication package includes both data and code, facilitating verification and extension of the analysis.

Limitations

• The 20.8 MB size suggests a limited scope, likely focused on Santa Monica, which may constrain generalizability.
• As a replication package for a specific study, the data structure and variables are optimized for that analysis, not for broad exploratory use.

Provenance

Source

Cayrua Chaves Fonseca, via figshare.

Collection Method

Data compiled for academic research, likely from Airbnb scrapes, public rental listings, and municipal records.

Time Range

Period surrounding the implementation of Santa Monica's 2015 Home-Sharing Ordinance.

Freshness

Data current as of the study's analysis period; package last updated in April 2026.

Geography

Santa Monica, California, USA.