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Owners Of Developed Land Versus Owners Of Undeveloped Land: Why Land Use Is More Constrained In The Bay Area

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  • Christian A.L. Hilber
  • Frederic Robert-Nicoud

Abstract

We model residential land use constraints as the outcome of a political economy game between owners of developed and owners of undeveloped land. Land use constraints are interpreted as shadow taxes that increase the land rent of already developed plots and reduce the amount of new housing developments. In general equilibrium, locations with nicer amenities are more developed and, as a consequence, more regulated. We test our model predictions by geographically matching amenity, land use, and historical Census data to metropolitan area level survey data on regulatory restrictiveness. Following the predictions of the model, we use amenities as instrumental variables and demonstrate that metropolitan areas with better amenities are more developed and more tightly regulated than other areas. Consistent with theory, metropolitan areas that are more regulated also grow more slowly.

Suggested Citation

  • Christian A.L. Hilber & Frederic Robert-Nicoud, 2008. "Owners Of Developed Land Versus Owners Of Undeveloped Land: Why Land Use Is More Constrained In The Bay Area," ERES eres2008_160, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2008_160
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    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2008-160
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    Cited by:

    1. Olivier Chanel & Laurence Delattre & Claude Napoléone, 2014. "Determinants of Local Public Policies for Farmland Preservation and Urban Expansion: A French Illustration," Land Economics, University of Wisconsin Press, vol. 90(3), pages 411-433.
    2. Albert Solé-Ollé & Elisabet Viladecans-Marsal, 2007. "Economic and political determinants of urban expansion: Exploring the local connection," Working Papers 2007/5, Institut d'Economia de Barcelona (IEB).

    More about this item

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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