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Semiparametric estimation of land price gradients using large data sets

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  • Kevin A. Bryan
  • Pierre-Daniel G. Sarte

Abstract

The exact nature of land price gradients, the surface describing how land prices change with location, can be difficult to uncover. This is particularly true for cities with few vacant lots or in more rural regions where the number of land sales in a given area is limited. This article outlines a semiparametric method to construct the land price surface given a large set of residential property sales, and investigates properties of this surface in Richmond, Virginia, and three surrounding counties. Despite recent concentrations of housing in suburban areas, we find that Richmond remains largely a monocentric city. Nevertheless, the price surface that we estimate features a complex topography, and high prices near suburban interstates and lakes are clearly evident.

Suggested Citation

  • Kevin A. Bryan & Pierre-Daniel G. Sarte, 2009. "Semiparametric estimation of land price gradients using large data sets," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 95(Win), pages 53-74.
    • Handle: RePEc:fip:fedreq:y:2009:i:win:p:53-74:n:v.95no.1
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    File URL: https://www.richmondfed.org/-/media/RichmondFedOrg/publications/research/economic_quarterly/2009/winter/pdf/sarte.pdf
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    References listed on IDEAS

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    Cited by:

    1. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2019. "Bodenwertermittlung mit statistischen Methoden [Land value appraisal using statistical methods]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 131-154, November.
    2. Nichols, Joseph B. & Oliner, Stephen D. & Mulhall, Michael R., 2013. "Swings in commercial and residential land prices in the United States," Journal of Urban Economics, Elsevier, vol. 73(1), pages 57-76.
    3. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2019. "Land value appraisal using statistical methods," FORLand Working Papers 07 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    4. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2015. "Identifying Berlin’s land value map using adaptive weights smoothing," Computational Statistics, Springer, vol. 30(3), pages 767-790, September.
    5. Raven Molloy & Hui Shan, 2010. "The effect of gasoline prices on household location," Working Papers 2010/28, Institut d'Economia de Barcelona (IEB).
    6. repec:hum:wpaper:sfb649dp2015-003 is not listed on IDEAS
    7. Michael R. Mulhall & Joseph B. Nichols & Stephen D. Oliner, 2010. "Commercial and residential land prices across the United States," Finance and Economics Discussion Series 2010-16, Board of Governors of the Federal Reserve System (U.S.).

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