The Impact of Unnatural Death Stigmatization on Neighboring Property Prices: Propensity Score Matching and Difference-In-Differences Analysis

This study primarily investigated the impacts of unnatural in-house deaths on nearby property prices. Propensity score matching was used to assess the homogeneity of experimental and control groups, and the difference-in-differences (DID) method was used for their comparison. Data for real estate transactions in Taipei City from 2012 to 2022 were retrieved from the Ministry of the Interior's real estate actual transaction price registration query system. The DID interaction variable coefficient of 0.066 was significant at the 10% level. A comparison of the experimental and control groups showed a 6.8% property price difference following an unnatural in-house death. This suggests that an unnatural in-house death has a positive impact on property prices nearby. There were four unnatural deaths at the Xining Public Housing from 2003 to 2012 and four at the Jinxing Building from 1984 to 2012. The high incidence of events and the disclosure of information may have depreciated nearby property prices. The study results show that the stigmatization of unnatural in-house deaths reduces nearby property prices. The depreciation of implicit prices reverted and followed a U-shape pattern after several years.

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Publication Details

Journal
OMEGA - Journal of Death and Dying
Published
2024-11-05
DOI
https://doi.org/10.1177/00302228241297726
Citations
1
Primary Topic
Housing Market and Economics
Type
article
Field-Weighted Citation Impact
1.13
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article

The Impact of Unnatural Death Stigmatization on Neighboring Property Prices: Propensity Score Matching and Difference-In-Differences Analysis

Pei-Syuan Lin, J. Lee, Chun‐Chang Lee, Wen-Chih Yeh et al.
1 citations
OMEGA - Journal of Death and Dying
Housing Market and Economics
1.13
article

The Impact of Unnatural Death Stigmatization on Neighboring Property Prices: Propensity Score Matching and Difference-In-Differences Analysis

Pei-Syuan Lin, J. Lee, Chun‐Chang Lee, Wen-Chih Yeh, Ting Dai
article en
1 citations

Abstract

This study primarily investigated the impacts of unnatural in-house deaths on nearby property prices. Propensity score matching was used to assess the homogeneity of experimental and control groups, and the difference-in-differences (DID) method was used for their comparison. Data for real estate transactions in Taipei City from 2012 to 2022 were retrieved from the Ministry of the Interior's real estate actual transaction price registration query system. The DID interaction variable coefficient of 0.066 was significant at the 10% level. A comparison of the experimental and control groups showed a 6.8% property price difference following an unnatural in-house death. This suggests that an unnatural in-house death has a positive impact on property prices nearby. There were four unnatural deaths at the Xining Public Housing from 2003 to 2012 and four at the Jinxing Building from 1984 to 2012. The high incidence of events and the disclosure of information may have depreciated nearby property prices. The study results show that the stigmatization of unnatural in-house deaths reduces nearby property prices. The depreciation of implicit prices reverted and followed a U-shape pattern after several years.

OMEGA - Journal of Death and Dying
National Pingtung University (TW), Chinese Culture University (TW), De Lin Institute of Technology (TW)
Peace, Justice and strong institutions
Openalex Percentile: Top 11%
Housing Market and Economics
1.13
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The Impact of Unnatural Death Stigmatization on Neighboring Property Prices: Propensity Score Matching and Difference-In-Differences Analysis — Pei-Syuan Lin, J. Lee, et al. · OMEGA - Journal of Death and Dying (2024) | TGRS Research Map | TGRS