Neighborhood impact of foreclosure: A quantile regression approach

B-Tier
Journal: Regional Science and Urban Economics
Year: 2014
Volume: 48
Issue: C
Pages: 133-143

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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 250ft of the property and (3) in the 12months 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.

Technical Details

RePEc Handle
repec:eee:regeco:v:48:y:2014:i:c:p:133-143
Journal Field
Urban
Author Count
2
Added to Database
2026-01-25