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Flood hazards impact on neighborhood house prices: A spatial quantile regression analysis
- 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.
- Subjects :
- Economics and Econometrics
geography.geographical_feature_category
Flood myth
Floodplain
05 social sciences
Metropolitan statistical area
0211 other engineering and technologies
021107 urban & regional planning
02 engineering and technology
Quantile regression
Urban Studies
Geography
Property value
0502 economics and business
Econometrics
050207 economics
Spatial analysis
Quantile
Subjects
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