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2022 | OriginalPaper | Chapter

22. Differences in State Level Impacts of COVID-19 Policies

Authors : Kingsley E. Haynes, Rajendra Kulkarni, Meng-Hao Li, Abu Bakkar Siddique

Published in: Theory and History in Regional Perspective

Publisher: Springer Nature Singapore

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Abstract

This paper compares COVID-19 infections between selected pairs of neighboring states where the policies of the non-pharmaceutical interventions (NPI) such as lockdown/stay-at-home differ. This analysis uses a difference-in-differences (Diff-in-Diff) model to test the effectiveness of NPI in mitigating COVID-19 infections at the state level. The states are Iowa and Illinois, the Dakotas (North and South) and Minnesota, and Arkansas and Mississippi. In each case the policies for each pair of states differ. Based on the difference-in-difference model output, state policies appear to make a significant difference in infection rates but these differences vary. This is for the first phase (wave) of the pandemic (April–June 2020). State level results are mixed reflecting spatial heterogeneity and interaction across the inter-state system. However, there appears to be a significant positive lag effect following the lifting of these mitigation/lockdown policies.

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JHU’s time series cumulative confirmed COVID-19 cases data were downloaded. The DiD analyses for neighboring states have COVID-19 data up to Aug 31, 2020.

A time series with daily cumulative counts is expected to be a non-decreasing by date, i.e., the values either stay the same or increase with time as fresh counts are added. However, in the JHU time series data, the confirmed COVID-19 cases may show an aperiodic drop in the cumulative counts. This is due to noise in the data, as it is compiled continuously from various sources.

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Title: Differences in State Level Impacts of COVID-19 Policies
Authors: Kingsley E. Haynes
Rajendra Kulkarni
Meng-Hao Li
Abu Bakkar Siddique
Publisher: Springer Nature Singapore
Book: Theory and History in Regional Perspective
Print ISBN: 978-981-16-6694-0

Electronic ISBN: 978-981-16-6695-7

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-981-16-6695-7_22

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