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COVID-19 mortalities in England and Wales and the Peltzman offsetting effect

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posted on 2021-09-06, 14:06 authored by Sam Williams, Alasdair Crookes, Karligash GlassKarligash Glass, Anthony J Glass
There are two approaches to measuring COVID-19 deaths – ‘COVID associated deaths’ and ‘excess deaths’. An excess deaths framework is preferable, as there is measurement error in COVID associated deaths, due to issues relating to imperfect information about deaths that are directly attributable to COVID-19. The standard measure of excess deaths (comparison of deaths to a 5-year average) is subject to an omitted variables problem, as it attributes the entirety of the variation in mortality to COVID-19. We propose a method to estimate a refined measure of COVID-19 excess deaths in England and Wales that addresses the omitted impact of the first blanket lockdown. Using the counterfactual, we obtain a first stage estimate of excess deaths. In the second stage, this is decomposed into estimates of a refined measure of COVID-19 excess deaths and the excess mortality impact of lockdown. Our results suggest: (i) a refined estimate of mean weekly COVID-19 excess deaths that is 63% of standard excess deaths; and (ii) a positive net excess mortality impact of the lockdown. We make a case that (ii) is due to the Peltzman offsetting effect, i.e. the intended mortality impact of the lockdown was more than offset by the unintended impact.

History

School

  • Business and Economics

Department

  • Business

Published in

Applied Economics

Volume

53

Issue

60

Pages

6982-6998

Publisher

Taylor & Francis

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Taylor & Francis under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (CC BY-NC-ND 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2021-08-12

Copyright date

2021

ISSN

0003-6846

eISSN

1466-4283

Language

  • en

Depositor

Prof Karligash Glass. Deposit date: 1 September 2021

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