Augmented Dickey Fuller (ADF) test statistics for daily time-series of the percentage of vaccine-related content from questionable and reliable sources, respectively.

The table reports the t-statistic of the ADF test statistics both in levels and on the first difference (FD). The ADF test is based on regressions with intercept. The null hypothesis for the test is non-stationarity. The estimates are reported for the overall period (1 January 2016–31 December 2021), together with the pre-pandemic (1 January 2016–29 January 2020) and pandemic (30 January 2020–31 December 2021) sub-periods. (DOCX)

Publication Details

Journal
Figshare
Published
2025-01-15
DOI
https://doi.org/10.1371/journal.pone.0316258.s009
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Augmented Dickey Fuller (ADF) test statistics for daily time-series of the percentage of vaccine-related content from questionable and reliable sources, respectively.

Figshare
SARS-CoV-2 and COVID-19 Research
article

Augmented Dickey Fuller (ADF) test statistics for daily time-series of the percentage of vaccine-related content from questionable and reliable sources, respectively.

article en

Abstract

The table reports the t-statistic of the ADF test statistics both in levels and on the first difference (FD). The ADF test is based on regressions with intercept. The null hypothesis for the test is non-stationarity. The estimates are reported for the overall period (1 January 2016–31 December 2021), together with the pre-pandemic (1 January 2016–29 January 2020) and pandemic (30 January 2020–31 December 2021) sub-periods. (DOCX)

Figshare
Good health and well-being
Openalex Percentile: Top 49%
SARS-CoV-2 and COVID-19 Research
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Augmented Dickey Fuller (ADF) test statistics for daily time-series of the percentage of vaccine-related content from questionable and reliable sources, respectively. · Figshare (2025) | TGRS Research Map | TGRS