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Erschienen in: The Journal of Real Estate Finance and Economics 1/2020

04.06.2019 | Original Research

Housing Market Response to New Flood Risk Information and the Impact on Poor Tenant

verfasst von: Donggyu Yi, Hyundo Choi

Erschienen in: The Journal of Real Estate Finance and Economics | Ausgabe 1/2020

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Abstract

This study examines how house prices were affected by the great Iowa flood of 2008. Transaction data on Des Moines’ housing market from 2000 to 2012 are used to estimate a hedonic property price function for the region. Both difference-in-differences and triple differences techniques with boundary dummies are used to isolate the impact of the 2008 flood. The main results are as follows. First, the price discount effect of pre-flood risk information is reconfirmed; however, it is overestimated when unobservable neighborhood effects are not controlled for. Second, unexpected inundation during the flood also leads to price discounting. Finally, we find a significant rebounding effect for post-flood prices in the 100-year floodplain areas not actually inundated, while there was no significant change in the 100-year floodplains actually inundated. These findings imply that the housing market updates the risk perception of properties when it receives new flood information. Meanwhile, this price change can affect the income distribution by increasing rents in areas in which the poor usually reside, offering policymakers some insights into how to formulate disaster-related policies.

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Fußnoten
1
This paper supposes that consumers buy only one house in which to live. This is a basic assumption of hedonic property price models (see Palmquist 2005).
 
2
Des Moines is the capital and most populous city in Iowa.
 
3
A house price index specific to the Des Moines-West Des Moines Core Based Statistical Area was used here. This index was obtained from the Federal Housing Finance Agency website (http://​www.​fhfa.​gov/​Default.​aspx?​Page=​ 87).
 
4
Among the 1091 removed observations, 997 houses had no information on certain attributes. Nine of these had inadequate information on certain house attributes. For example, sales year was earlier than the year built in some cases. Further, 81 houses had zero values in such attributes as land square feet, the number of baths, and the number of bedrooms. Finally, four were mobile homes whose type is different from that of general residential properties occupied by single families.
 
5
This partition reduces one difference between inundation and floodplains compared with the DDD method. Therefore, the DID approach draws the same results as the DDD method introduced next.
 
6
Equation (6) is one example of the estimate of the pure inundation effects to show the DID technique. The other estimates can also be derived in the same way.
 
7
The base year related to the year dummies is 2000.
 
8
For reference, Black (1999) uses restricted samples of 0.35, 0.20, and 0.15 miles from the boundary as sensitivity tests. Black (1999) shows that houses on the opposite sides of the boundary become more similar as the sample is restricted to an area closer to the boundary. Likewise, neighborhoods inside or outside the floodplains may have common unobservable traits, especially houses close to the boundary. This study considers 200 m, which is close to 0.15 miles, as the boundary of the neighborhood’s territory and checks its sensitivity. It also runs a model that assigns a boundary to all observations regardless of distance, which is similar to Black’s (1999) baseline model, and the results are close to the 300 m boundary case.
 
9
The boundary of Des Moines mostly overlaps with the three townships, but not perfectly. Some areas are mismatched between each township and the city boundary, but these are not residential areas. Thus, it seems reasonable to examine the sub-regional differences within Des Moines using the census data on these three townships.
 
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Metadaten
Titel
Housing Market Response to New Flood Risk Information and the Impact on Poor Tenant
verfasst von
Donggyu Yi
Hyundo Choi
Publikationsdatum
04.06.2019
Verlag
Springer US
Erschienen in
The Journal of Real Estate Finance and Economics / Ausgabe 1/2020
Print ISSN: 0895-5638
Elektronische ISSN: 1573-045X
DOI
https://doi.org/10.1007/s11146-019-09704-0

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