Neighborhood Impact of Foreclosure: A Quantile Regression Approach

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This article uses quantile regression to examine the simultaneous space-time impact of foreclosures on neighborhood property values.

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33 p.

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Zhang, Lei & Leonard, Tammy June 19, 2014.

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This article uses quantile regression to examine the simultaneous space-time impact of foreclosures on neighborhood property values.

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33 p.

Notes

Abstract: This paper uses quantile regression, while accounting for spatial autocorrelation, to examine the simultaneous space–time impact of foreclosures on neighborhood property values. We find that negative price externalities associated with neighborhood foreclosures are greatest (1) among lower-priced homes, (2) within 250 ft of the property and (3) in the 12 months following a foreclosure auction. By using quantile regression, we are able to also investigate changes in the distribution of house prices associated with varying levels of neighborhood foreclosures.

This is the accepted manuscript version of the article. Reprinted with permission from Elsevier Science Ltd., all rights reserved. The final definitive version is available here: https://doi.org/10.1016/j.regsciurbeco.2014.06.004.

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  • Regional Science and Urban Economics, 2014. New York, NY: Elsevier

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Publication Information

  • Publication Title: Regional Science and Urban Economics
  • Volume: 48
  • Pages: 133-143
  • Peer Reviewed: Yes

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  • July 4, 2013

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  • June 19, 2014

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  • June 19, 2014

Added to The UNT Digital Library

  • Dec. 14, 2017, 11:26 a.m.

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Zhang, Lei & Leonard, Tammy. Neighborhood Impact of Foreclosure: A Quantile Regression Approach, article, June 19, 2014; New York, New York. (digital.library.unt.edu/ark:/67531/metadc1049752/: accessed January 22, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.