Adetutu, M.O., Odusanya, K.A., Rasciute, S. et al. (1 more author) (2024) Pollution risk and life insurance decisions: microgeographic evidence from the United Kingdom. Risk Analysis, 44 (8). pp. 1907-1930. ISSN 0272-4332
Abstract
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The Authors. Risk Analysis published by Wiley Periodicals LLC on behalf of Society for Risk Analysis. This is an open access article under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/4.0/) which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Air pollution; life insurance; modelled microgeographic data; N-shaped relationship; United Kingdom |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Economics (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Feb 2024 14:11 |
Last Modified: | 07 Nov 2024 15:22 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1111/risa.14279 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:208461 |