Dataset 3: Dickey-Fuller tests and Cumby-Huizinga tests

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Description:
The primary interrupted-series analyses evaluated all targeted and total border closures by country-level intervention points. As robustness checks, Dickey-Fuller tests were run for every time series, with none exceeding the 5% critical value of the t-distribution for a unit root. Cumby-Huizinga general tests were run to correct results for each lag found to have serial autocorrelation present for all global and country interrupted time-series.
Author(s):
The Global Strategy Lab

The Global Strategy Lab

OTHER
Contributor(s):
LIN, GIGI and Poirier, Mathieu
Source Repository:
York University Dataverse
Series:
Global Strategy Lab Dataverse // COVID-19 Travel Restrictions Project
Publisher(s):
Borealis
Access:
Public
URL:
https://doi.org/10.5683/SP2/H1L7AG
Publication date:
2023-03-16
Subjects:
Medicine, Health and Life Sciences
Keywords:
Border closures, Travel restrictions, COVID-19, Global legal epidemiology, Dickey-Fuller tests, Cumby-Huizinga tests, Robustness check
Identifier:
https://doi.org/10.5683/SP2/H1L7AG

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Citation

APA Citation:
Lab, T. G. S. (2023). Dataset 3: Dickey-Fuller tests and Cumby-Huizinga tests [Data set]. York University Dataverse. https://doi.org/10.5683/SP2/H1L7AG
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