污染风险与人寿保险决策:来自英国的微观地理证据。

IF 3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Risk Analysis Pub Date : 2024-08-01 Epub Date: 2024-02-08 DOI:10.1111/risa.14279
Morakinyo O Adetutu, Kayode A Odusanya, Simona Rasciute, Eleni Stathopoulou
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引用次数: 0

摘要

最新研究表明,暴露于空气污染会引发各种行为反应。本文就污染风险对人寿保险决策的因果效应提出了新的经验证据。我们将微观地理空气质量信息与保密的英国财富和资产调查联系起来,创建了一个独特的数据集。通过利用气象条件的正交变化,我们确定了污染风险与人寿保险采用之间的反 N 型关系。在高于暴露阈值的给定范围内,污染程度的上升与人寿保险需求的上升相关联,而在污染程度低于阈值时,较高的暴露风险会降低保险需求。我们的研究结果首次表明,当地污染风险与人寿保险需求之间存在非线性关系。
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Pollution risk and life insurance decisions: Microgeographic evidence from the United Kingdom.

Recent research documents that exposure to air pollution can trigger various behavioral reactions. This article presents novel empirical evidence on the causal effect of pollution risk on life insurance decisions. We create a unique dataset by linking microgeographic air quality information to the confidential UK Wealth and Assets Survey. We identify an inverse N-shape relationship between pollution risk and life insurance adoption by exploiting the orthogonal variations in meteorological conditions. Over a given range above a threshold of exposure, rising pollution is associated with rising demand for life insurance, whereas at lower than the threshold levels of pollution, higher exposure risk reduces demand for insurance. Our findings indicate-for the first time-a nonlinear relationship between local pollution risk and life insurance demand.

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来源期刊
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
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