Publication Type
Journal Article
Version
acceptedVersion
Publication Date
11-2018
Abstract
The occurrence of in-house unnatural death could negatively affect the value of housing property. This study evaluates the geographic and temporal scope of the impact of unnatural death on property values in Hong Kong. By exploiting the spatial and intertemporal variation of the shock in a difference-in-differences approach, we find significant negative externalities of unnatural death incidence on neighborhood housing values. On average, units in which an unnatural death occurred experience a 25% drop in value following the death. Nearby units on the same floor also show a significant price drop of 4.5%. Prices of units on other floors of the same building decline about 2.6%. Units in other buildings of the same estate observe a price decline of about 1% on average. However, the price for nearby estates within 300 meters shows a positive impact of 0.5%, suggesting a very localized sorting mechanism. Temporally, price evolution after death incidence follows a U shape. Housing prices continue to decline up to 4–5 years after deaths and recover gradually afterwards. We also document the heterogeneity of the impact by the type of death incidence (murder, suicide, or accident) and the type of homebuyers (local buyer, investment firm, and other buyers). We find that the negative externalities of death incidence are largely due to a severe stigma effect, rather than channels through the revealed crime risk or the price contagion effect.
Keywords
Unnatural death, Stigma effect, Housing externality, Difference-in-differences, Hong Kong
Discipline
Economics | Public Economics | Real Estate
Research Areas
Applied Microeconomics
Areas of Excellence
Urban Management and Sustainability
Publication
Regional Science and Urban Economics
Volume
73
First Page
112
Last Page
126
ISSN
0166-0462
Publisher
Elsevier
Embargo Period
4-29-2021
Citation
CHANG, Zheng and LI, Jing.
The impact of in-house unnatural death on property values: Evidence from Hong Kong. (2018). Regional Science and Urban Economics. 73, 112-126.
Available at: https://ink.library.smu.edu.sg/soe_research/2468
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.regsciurbeco.2018.08.003