The Urban Institute created a multicity panel dataset of rent control reforms using machine learning algorithms to analyze over 76,000 newspaper articles from 7,000 news outlets spanning 27 metropolitan areas and over 4,000 census designated places across the US between 2000 and 2021. The newspaper articles were accessed from Access World News, a comprehensive database of major national and international newspapers. For each reform, we classify whether it made rent control in that jurisdiction more or less restrictive. Support for this dataset was provided by the Robert Wood Johnson Foundation’s Policies for Action program.
Dataset Info
- Modified 2024-08-19
- Release Date 2024-08-15
- Temporal Coverage
- License odc-by
- Granularity
- Contact Name Urban Institute
- Contact Email [email protected]
- Public Access Level public
Urban Extended Info
- Modified 2024-08-19
- Release Date 2024-08-15
- Geographic Level
- Data Value
- Data Quality We created this dataset using machine learning to analyze newspaper articles, and it is likely that many rent control reforms in the target cities are missed. This dataset should be used with caution when examining all rent control reforms in a city.
-
Urban Publications
- Citation Requirements Stacy, Plerhoples Christina, Timothy R. Hodge, Timothy M. Komarek, Christopher Davis, Alena Stern, Owen Noble, Jorge Morales-Burnett, and Amy Rogin. Urban Institute. 2024. Multicity Panel of Rent Control Reforms. Accessible from https://datacatalog.urban.org/dataset/multi-city-panel-rent-control-reforms. Data developed at the Urban Institute and made available under the Creative Commons Non-Commercial (2.5) License.