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Flood hazards impact on neighborhood house prices: A spatial quantile regression analysis

Authors :
Lei Zhang
Source :
Regional Science and Urban Economics. 60:12-19
Publication Year :
2016
Publisher :
Elsevier BV, 2016.

Abstract

This study examines whether being located within a 100-year floodplain has an impact on the price of residential single-family house sales using house sales data in the Fargo-Moorhead Metropolitan Statistical Area between 2000 and 2013. A spatial quantile regression is applied to investigate the flood hazards impact on conditional higher- vs lower- priced homes, while accounting for spatial autocorrelation. The findings show that the location within a floodplain reduces property value. Furthermore, the negative impact of flood hazards on property values are stronger among lower-priced homes, and weaker among higher-priced homes. In addition, the study examines if a major flood in 2009 had an impact on the home buyers' perception about flood risk. The results show that about a year after the major flood, home buyers responded the most, however, the effect quickly diminished after 2010. Across quantiles, the 2009 flood had more effect on lower-priced than higher-priced homes.

Details

ISSN :
01660462
Volume :
60
Database :
OpenAIRE
Journal :
Regional Science and Urban Economics
Accession number :
edsair.doi...........b43e82e75fd8794ad5477472829a27c5
Full Text :
https://doi.org/10.1016/j.regsciurbeco.2016.06.005