wp 2010
DOI: 10.24149/wp1009
|View full text |Cite
|
Sign up to set email alerts
|

The Impact of Hurricanes on Housing Prices: Evidence from U.S. Coastal Cities

Abstract: We investigate the effect of hurricane strikes on housing prices in US coastal cities. To this end, we construct a new index of hurricane destruction which varies over time and space. Using this index and an annual, two equation, dynamic equilibrium correction panel model with area and time fixed effects, we model the effects of hurricanes on real house prices and real incomes. In our model hurricanes have a direct effect on house prices and an indirect effect via a fall in local incomes. Our results show that… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
18
0

Year Published

2013
2013
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 18 publications
(19 citation statements)
references
References 33 publications
1
18
0
Order By: Relevance
“…Studies in this area typically use GDP or GDP equivalents as outcomes and thus miss disasters' impacts on government transfer payments. Consistent with my results, previous researchers have largely found very small or no long-run impacts on income in developed countries (e.g., Murphy andStrobl 2010, Strobl 2011).…”
supporting
confidence: 80%
“…Studies in this area typically use GDP or GDP equivalents as outcomes and thus miss disasters' impacts on government transfer payments. Consistent with my results, previous researchers have largely found very small or no long-run impacts on income in developed countries (e.g., Murphy andStrobl 2010, Strobl 2011).…”
supporting
confidence: 80%
“…The second strand of literature focuses on the economic impacts of natural disasters, typically considering a single outcome or single event (Leiter et al, 2009;Brown et al, 2006;Hsiang, 2010) or looking at effects from one to four quarters (Strobl and Walsh, 2009;Brown et al, 2006) or three to four years after the event (Murphy and Strobl, 2010;Belasen and Polachek, 2008;Strobl, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…In a study that accounted for the size of the storm, as well as peak wind speed, Zhai and Jiang [57] found an exponent on wind speed of 5. In a US context, Murphy and Strobl [63] and Strobl [22] adopted values of 3 and 3.17. In a study of Latin American and the Caribbean, Strobl [20] estimated a value of 3.8, while for the Caribbean alone, Acevedo [33] found the power to be 3.…”
Section: Calculating Average Climate Damagementioning
confidence: 99%