Hedonic analysis with locally weighted regression: An application to the shadow cost of housing regulation in Southern California

Hedonic analysis with locally weighted regression: An application to the shadow cost of housing regulation in Southern California

This paper investigates the role of hedonic model misspecification through inappropriate geographic aggregation in the debate over the effects of housing regulation…This modeling strategy better represents micro-market realities and the importance of location as a prime determinant of housing prices. Our results, based on a unique dataset of almost 14,000 single-family home sales between 1993 and 2001 in Southern California, suggest regulation had strong direct impacts on the housing market as suggested by Glaeser and Gyourko (2003) and Cheung et al. (2009a) and not indirectly through increased land scarcity as suggested by Davis and Palumbo (2007).

David L. Sunding and Aaron M. Swoboda

Regional Science and Urban Economics

November 2010

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By |2018-01-01T00:00:00-08:00January 1st, 2018|Affordability, Efficiency/Growth, Land Use Regulation, Reference|