Political Partisanship and Housing Supply in US Cities

Replication data supports research on the link between political partisanship and housing supply in US cities. The dataset, authored by Joseph Gyourko and Fernando Ferreira, was last updated in February 2026. It provides the empirical foundation for findings published in the Journal of Urban Economics.

Use Cases

• Analyze the relationship between political partisanship variables and housing supply metrics across US cities.
• Replicate econometric models from the published study to verify the effect of local political factors on construction.
• Investigate potential mediating variables, such as zoning regulations or demographic data, that link partisanship to housing outcomes.

Strengths

• Data is directly linked to a peer-reviewed publication in the Journal of Urban Economics, ensuring academic rigor.
• The dataset was updated in February 2026, indicating recent maintenance or availability.
• Sourced from the ICPSR Harvested Dataverse, a repository known for social science data.

Limitations

• The specific variables, column count, and row count are not described, limiting pre-download assessment of suitability.
• Without sample data or a data dictionary, the structure and coding of key features like partisanship measures are unclear.

Provenance

Source

ICPSR Harvested Dataverse

Collection Method

Replication data for academic publication.

Freshness

Last updated on 2026-02-23.

Geography

US cities