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The impact of land use regulation across the conditional distribution of home prices: an application of quantile regression for group-level treatments

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  • Tammy Leonard

    (University of Dallas)

  • Xi Yang

    (University of North Texas)

  • Lei Zhang

    (North Dakota State University)

Abstract

By increasing housing prices, land use regulations can have positive impacts among homeowners, but they can also have negative impacts on the availability of affordable housing. We examined heterogeneity in the price impacts of land use regulation across the conditional house price distribution; this heterogeneity may ameliorate or exacerbate the impacts of land use regulation on affordable housing. Our results suggest that the distribution of price impacts across the conditional house price distribution is relatively uniform. Results suggest that land use regulations both constrain housing supply and induce within housing market migration that spreads price impacts throughout the region.

Suggested Citation

  • Tammy Leonard & Xi Yang & Lei Zhang, 2021. "The impact of land use regulation across the conditional distribution of home prices: an application of quantile regression for group-level treatments," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(3), pages 655-676, June.
    • Handle: RePEc:spr:anresc:v:66:y:2021:i:3:d:10.1007_s00168-020-01032-z
    DOI: 10.1007/s00168-020-01032-z
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    JEL classification:

    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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