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Changes in the white–black house value distribution gap from 1997 to 2005

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  • Fesselmeyer, Eric
  • Le, Kien T.
  • Seah, Kiat Ying

Abstract

This paper examines the white–black house value gap across the entire value distribution. Instead of using standard conditional mean analysis and decomposition methods (via OLS regression), we estimate and decompose the changes in the white–black house value gap from 1997 to 2005 using quantile regression. We find that the racial gap in 1997 and 2005 is mostly explained by differences in housing characteristics of white- and black-owned houses but that the variation in the racial gap is explained by racial differences in implicit prices of housing characteristics. Our results show that analysis at the conditional mean masks variations at the tails of the distribution.

Suggested Citation

  • Fesselmeyer, Eric & Le, Kien T. & Seah, Kiat Ying, 2013. "Changes in the white–black house value distribution gap from 1997 to 2005," Regional Science and Urban Economics, Elsevier, vol. 43(1), pages 132-141.
    • Handle: RePEc:eee:regeco:v:43:y:2013:i:1:p:132-141
    DOI: 10.1016/j.regsciurbeco.2012.06.003
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    Cited by:

    1. Zhang, Lei & Yi, Yimin, 2018. "What contributes to the rising house prices in Beijing? A decomposition approach," Journal of Housing Economics, Elsevier, vol. 41(C), pages 72-84.
    2. Kiat Ying Seah & Eric Fesselmeyer & Kien Le, 2017. "Estimating and decomposing changes in the White–Black homeownership gap from 2005 to 2011," Urban Studies, Urban Studies Journal Limited, vol. 54(1), pages 119-136, January.
    3. Qin, Yu & Zhu, Hongjia & Zhu, Rong, 2016. "Changes in the distribution of land prices in urban China during 2007–2012," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 77-90.

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    More about this item

    Keywords

    House value gap; Race; Decomposition;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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