Methodological issues in natural disaster loss normalisation studies

W. J.Wouter Botzen; Francisco Estrada; Richard S.J. Tol

doi:10.1080/17477891.2020.1830744

Methodological issues in natural disaster loss normalisation studies

W. J.Wouter Botzen^*, Francisco Estrada, Richard S.J. Tol

^*Corresponding author for this work

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

Abstract

The mixed results in Pielke (2020) for natural disaster loss normalisation studies are due to methodological differences. Flaws exist in commonly used normalisation approaches that assume unitary elasticities between exposure indicators and losses. We refute Pielke’s arguments that statistical studies estimating these relationships are biased. We conclude with an agenda for future research.

Original language	English
Pages (from-to)	112-115
Number of pages	4
Journal	Environmental Hazards
Volume	20
Issue number	2
DOIs	https://doi.org/10.1080/17477891.2020.1830744
Publication status	Published - 15 Mar 2021

Bibliographical note

Publisher Copyright:
© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Keywords

Climate change
extreme weather
loss normalization
natural disaster
statistical analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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17477891.2020Final published version, 804 KBLicence: CC BY-NC-ND

Cite this

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AU - Tol, Richard S.J.

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N2 - The mixed results in Pielke (2020) for natural disaster loss normalisation studies are due to methodological differences. Flaws exist in commonly used normalisation approaches that assume unitary elasticities between exposure indicators and losses. We refute Pielke’s arguments that statistical studies estimating these relationships are biased. We conclude with an agenda for future research.

AB - The mixed results in Pielke (2020) for natural disaster loss normalisation studies are due to methodological differences. Flaws exist in commonly used normalisation approaches that assume unitary elasticities between exposure indicators and losses. We refute Pielke’s arguments that statistical studies estimating these relationships are biased. We conclude with an agenda for future research.

KW - Climate change

KW - extreme weather

KW - loss normalization

KW - natural disaster

KW - statistical analysis

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M3 - Comment/Letter to the editor

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Methodological issues in natural disaster loss normalisation studies

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

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