Comment on ‘Government mandated lockdowns do not reduce COVID-19 deaths: implications for evaluating the stringent New Zealand response’

IF 0.8 Q3 ECONOMICS
S. Hendy, S. Wiles, Rachelle N. Binny, M. Plank
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引用次数: 24

Abstract

In ‘Government mandated lockdowns do not reduce COVID-19 deaths: implications for evaluating the stringent New Zealand response’ (New Zealand Economic Papers, 2020), Gibson claims that ‘Lockdowns do not reduce COVID-19 deaths’ on the basis of an instrument variable linear regression on county-level cross-sectional data in the United States. Here we argue that Gibson’s analysis is not robust. In particular, Gibson (i) neglects the spatio-temporal heterogeneity in the spread of COVID-19 in the United States, namely that spread was from well-connected urban counties to more isolated rural counties; (ii) selects cross-sections at arbitrary times from what is an on-going spatially heterogeneous dynamical process, introducing bias that he fails to control for; and (iii) makes a choice of instrument variable (political affiliation) that is correlated with the heterogeneity (and therefore the bias) and that could plausibly influence the output variable in his regression independently of the explanatory variable.
政府强制封锁并不能减少COVID-19死亡人数:对评估新西兰严格应对措施的影响
在《政府强制封锁不会减少新冠肺炎死亡人数:对评估新西兰严格应对措施的影响》(《新西兰经济论文》,2020年)中,Gibson声称,根据美国县级横断面数据的工具变量线性回归,“封锁不会减少新冠肺炎死亡人数”。在这里,我们认为吉布森的分析是不稳健的。特别是,Gibson(i)忽略了新冠肺炎在美国传播的时空异质性,即传播是从连接良好的城市县到更孤立的农村县;(ii)从正在进行的空间异质动力学过程中选择任意时间的横截面,引入他无法控制的偏差;以及(iii)选择与异质性(因此也与偏见)相关的工具变量(政治派别),并可能独立于解释变量在其回归中合理地影响输出变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
New Zealand Economic Papers
New Zealand Economic Papers Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
1.20
自引率
0.00%
发文量
17
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