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A New Measure of the Local Regulatory Environment for Housing Markets: The Wharton Residential Land Use Regulatory Index
Abstract
A new survey of over 2000 jurisdictions across all major housing markets in the US documents how regulation of residential building varies across space. New evidence on what a `typical' degree of local regulation entails is provided. In addition, data on how the stringency of land use control varies across markets are analysed. Coastal markets tend to be more highly regulated, with communities in the Northeast region of America being the most highly regulated on average, followed by those in the West region (California especially).
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Citations
Cited by
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Credit Supply and the Price of Housing
Favara, G., & Imbs, J. (2015) · American Economic Review · doi:10.1257/aer.20121416 · Cited by 621
Why has regional income convergence in the U.S. declined?
Ganong, P., & Shoag, D. (2017) · Journal of Urban Economics · doi:10.1016/j.jue.2017.07.002 · Cited by 474
Segregation by Design: Local Politics and Inequality in American Cities
Trounstine, J. (2018) · doi:10.1017/9781108555722 · Cited by 428
Metadata
- Authors
- Gyourko, J., Saiz, A., & Summers, A.
- Venue
- Urban Studies
- Publisher
- SAGE Publications
- Published
- 2008-03
- Volume
- 45
- Issue
- 3
- Pages
- 693-729
- ISSN
- 0042-0980 (ISSN-L)
- 1360-063X
- OpenAlex
- W2147488199
- Cited by
- 763
- References
- 0
- FWCI
- 61.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A New Measure of the Local Regulatory Environment for Housing Markets: The Wharton Residential Land Use Regulatory Index. https://app.cochat.ai/papers/10.1177/0042098007087341
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- Gyourko, J., Saiz, A., & Summers, A. (2008). A New Measure of the Local Regulatory Environment for Housing Markets: The Wharton Residential Land Use Regulatory Index. Urban Studies. https://doi.org/10.1177/0042098007087341
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
