Constraints on Housing Supply: Natural and Regulatory
Two empirical papers study US housing markets and treat the impacts of both natural geographic constraints, such as water bodies and steep slopes, and regulatory restrictions. Albert Saiz (2010) concentrates on identifying the impact of natural geographic constraints. Saiz creates measures of developable land using an invariant 50-kilometer radius about an urban focal point. I criticize SaizÃ¢â¬â¢s geographical constraint on the basis that its invariant radius renders comparisons between urban areas of differing sizes of questionable value. Moreover, the inter-relation between the two kinds of constraints—the natural and the regulatory—is highly particular to the locale; for example, the effect of a natural geographical constraint would be neutralized by an interior regulatory constraint such as an urban growth boundary. Haifang Huang and Yao Tang (2010) concentrate on the impact of regulatory constraints on booms and busts in local housing markets, but they also make use of the natural-constraint data furnished by Saiz. Both studies also use the Wharton Land Use Regulatory Index, about which I raise a number of questions. I believe that the procedures employed by the two papers have the tendency to understate, at the aggregate level, the pernicious impact of regulatory restrictions.
Volume (Year): 8 (2011)
Issue (Month): 1 (January)
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- Albert Saiz, 2010. "The Geographic Determinants of Housing Supply," The Quarterly Journal of Economics, MIT Press, vol. 125(3), pages 1253-1296, August.
- Haifang Huang & Yao Tang, 2011. "Dropping the Geographic-Constraints Variable Makes Only a Minor Difference: Reply to Cox," Econ Journal Watch, Econ Journal Watch, vol. 8(1), pages 28-32, January.
- Huang, Haifang & Tang, Yao, 2010.
"Residential Land Use Regulation and the US Housing Price Cycle Between 2000 and 2009,"
2010-11, University of Alberta, Department of Economics, revised 01 Nov 2010.
- Huang, Haifang & Tang, Yao, 2012. "Residential land use regulation and the US housing price cycle between 2000 and 2009," Journal of Urban Economics, Elsevier, vol. 71(1), pages 93-99.
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