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A cross-country analysis of macroeconomic responses to COVID-19 pandemic using Twitter sentiments

The COVID-19 pandemic has had a devastating impact on the global economy. In this paper, we use the Phillips curve to compare and analyze the macroeconomics of three different countries with distinct income levels, namely, lower-middle (Nigeria), upper-middle (South Africa), and high (Canada) income...

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Autores principales: Nia, Zahra Movahedi, Ahmadi, Ali, Bragazzi, Nicola L., Woldegerima, Woldegebriel Assefa, Mellado, Bruce, Wu, Jianhong, Orbinski, James, Asgary, Ali, Kong, Jude Dzevela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9401163/
https://www.ncbi.nlm.nih.gov/pubmed/36001531
http://dx.doi.org/10.1371/journal.pone.0272208
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author Nia, Zahra Movahedi
Ahmadi, Ali
Bragazzi, Nicola L.
Woldegerima, Woldegebriel Assefa
Mellado, Bruce
Wu, Jianhong
Orbinski, James
Asgary, Ali
Kong, Jude Dzevela
author_facet Nia, Zahra Movahedi
Ahmadi, Ali
Bragazzi, Nicola L.
Woldegerima, Woldegebriel Assefa
Mellado, Bruce
Wu, Jianhong
Orbinski, James
Asgary, Ali
Kong, Jude Dzevela
author_sort Nia, Zahra Movahedi
collection PubMed
description The COVID-19 pandemic has had a devastating impact on the global economy. In this paper, we use the Phillips curve to compare and analyze the macroeconomics of three different countries with distinct income levels, namely, lower-middle (Nigeria), upper-middle (South Africa), and high (Canada) income. We aim to (1) find macroeconomic changes in the three countries during the pandemic compared to pre-pandemic time, (2) compare the countries in terms of response to the COVID-19 economic crisis, and (3) compare their expected economic reaction to the COVID-19 pandemic in the near future. An advantage to our work is that we analyze macroeconomics on a monthly basis to capture the shocks and rapid changes caused by on and off rounds of lockdowns. We use the volume and social sentiments of the Twitter data to approximate the macroeconomic statistics. We apply four different machine learning algorithms to estimate the unemployment rate of South Africa and Nigeria on monthly basis. The results show that at the beginning of the pandemic the unemployment rate increased for all the three countries. However, Canada was able to control and reduce the unemployment rate during the COVID-19 pandemic. Nonetheless, in line with the Phillips curve short-run, the inflation rate of Canada increased to a level that has never occurred in more than fifteen years. Nigeria and South Africa have not been able to control the unemployment rate and did not return to the pre-COVID-19 level. Yet, the inflation rate has increased in both countries. The inflation rate is still comparable to the pre-COVID-19 level in South Africa, but based on the Phillips curve short-run, it will increase further, if the unemployment rate decreases. Unfortunately, Nigeria is experiencing a horrible stagflation and a wild increase in both unemployment and inflation rates. This shows how vulnerable lower-middle-income countries could be to lockdowns and economic restrictions. In the near future, the main concern for all the countries is the high inflation rate. This work can potentially lead to more targeted and publicly acceptable policies based on social media content.
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spelling pubmed-94011632022-08-25 A cross-country analysis of macroeconomic responses to COVID-19 pandemic using Twitter sentiments Nia, Zahra Movahedi Ahmadi, Ali Bragazzi, Nicola L. Woldegerima, Woldegebriel Assefa Mellado, Bruce Wu, Jianhong Orbinski, James Asgary, Ali Kong, Jude Dzevela PLoS One Research Article The COVID-19 pandemic has had a devastating impact on the global economy. In this paper, we use the Phillips curve to compare and analyze the macroeconomics of three different countries with distinct income levels, namely, lower-middle (Nigeria), upper-middle (South Africa), and high (Canada) income. We aim to (1) find macroeconomic changes in the three countries during the pandemic compared to pre-pandemic time, (2) compare the countries in terms of response to the COVID-19 economic crisis, and (3) compare their expected economic reaction to the COVID-19 pandemic in the near future. An advantage to our work is that we analyze macroeconomics on a monthly basis to capture the shocks and rapid changes caused by on and off rounds of lockdowns. We use the volume and social sentiments of the Twitter data to approximate the macroeconomic statistics. We apply four different machine learning algorithms to estimate the unemployment rate of South Africa and Nigeria on monthly basis. The results show that at the beginning of the pandemic the unemployment rate increased for all the three countries. However, Canada was able to control and reduce the unemployment rate during the COVID-19 pandemic. Nonetheless, in line with the Phillips curve short-run, the inflation rate of Canada increased to a level that has never occurred in more than fifteen years. Nigeria and South Africa have not been able to control the unemployment rate and did not return to the pre-COVID-19 level. Yet, the inflation rate has increased in both countries. The inflation rate is still comparable to the pre-COVID-19 level in South Africa, but based on the Phillips curve short-run, it will increase further, if the unemployment rate decreases. Unfortunately, Nigeria is experiencing a horrible stagflation and a wild increase in both unemployment and inflation rates. This shows how vulnerable lower-middle-income countries could be to lockdowns and economic restrictions. In the near future, the main concern for all the countries is the high inflation rate. This work can potentially lead to more targeted and publicly acceptable policies based on social media content. Public Library of Science 2022-08-24 /pmc/articles/PMC9401163/ /pubmed/36001531 http://dx.doi.org/10.1371/journal.pone.0272208 Text en © 2022 Nia et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nia, Zahra Movahedi
Ahmadi, Ali
Bragazzi, Nicola L.
Woldegerima, Woldegebriel Assefa
Mellado, Bruce
Wu, Jianhong
Orbinski, James
Asgary, Ali
Kong, Jude Dzevela
A cross-country analysis of macroeconomic responses to COVID-19 pandemic using Twitter sentiments
title A cross-country analysis of macroeconomic responses to COVID-19 pandemic using Twitter sentiments
title_full A cross-country analysis of macroeconomic responses to COVID-19 pandemic using Twitter sentiments
title_fullStr A cross-country analysis of macroeconomic responses to COVID-19 pandemic using Twitter sentiments
title_full_unstemmed A cross-country analysis of macroeconomic responses to COVID-19 pandemic using Twitter sentiments
title_short A cross-country analysis of macroeconomic responses to COVID-19 pandemic using Twitter sentiments
title_sort cross-country analysis of macroeconomic responses to covid-19 pandemic using twitter sentiments
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9401163/
https://www.ncbi.nlm.nih.gov/pubmed/36001531
http://dx.doi.org/10.1371/journal.pone.0272208
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