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

Omega Pub Date : 2024-11-05 DOI:10.1177/00302228241297726
Chun-Chang Lee, Wen-Chih Yeh, Pei-Syuan Lin, Jing-Yi Lee, Ting-Wei Dai
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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.

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非自然死亡的污名化对周边房地产价格的影响:倾向得分匹配与差异分析
本研究主要调查了内部非自然死亡对附近房地产价格的影响。采用倾向得分匹配法评估实验组和对照组的同质性,并采用差分法(DID)进行比较。2012 年至 2022 年台北市不动产交易数据来自内政部不动产实际交易价格登记查询系统。DID 交互变量系数为 0.066,在 10%的水平上显著。实验组和对照组的比较结果显示,非正常内部死亡后的房产价格差异为 6.8%。这表明,内部非正常死亡会对附近的房地产价格产生积极影响。2003年至2012年,西宁公租房发生了四起非正常死亡事件,1984年至2012年,金星大厦发生了四起非正常死亡事件。事件的高发和信息的公开可能会使附近的房价贬值。研究结果表明,内部非正常死亡的污名化降低了附近的房地产价格。隐性价格的贬值在数年后出现反弹,并呈现出 U 型模式。
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