Flood hazards impact on neighborhood house prices: A spatial quantile regression analysis
Lei Zhang ()
Regional Science and Urban Economics, 2016, vol. 60, issue C, 12-19
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.
Keywords: Hedonic model; Flood hazards; Spatial quantile regression (search for similar items in EconPapers)
JEL-codes: C2 R2 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (43)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:regeco:v:60:y:2016:i:c:p:12-19
DOI: 10.1016/j.regsciurbeco.2016.06.005
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