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

Author

Listed:
  • Zahra Movahedi Nia
  • Ali Ahmadi
  • Nicola L Bragazzi
  • Woldegebriel Assefa Woldegerima
  • Bruce Mellado
  • Jianhong Wu
  • James Orbinski
  • Ali Asgary
  • Jude Dzevela Kong

Abstract

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.

Suggested Citation

  • Zahra Movahedi Nia & Ali Ahmadi & Nicola L Bragazzi & Woldegebriel Assefa Woldegerima & Bruce Mellado & Jianhong Wu & James Orbinski & Ali Asgary & Jude Dzevela Kong, 2022. "A cross-country analysis of macroeconomic responses to COVID-19 pandemic using Twitter sentiments," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-16, August.
  • Handle: RePEc:plo:pone00:0272208
    DOI: 10.1371/journal.pone.0272208
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    References listed on IDEAS

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    1. Lingyao Li & Abdolmajid Erfani & Yu Wang & Qingbin Cui, 2021. "Anatomy into the battle of supporting or opposing reopening amid the COVID-19 pandemic on Twitter: A temporal and spatial analysis," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-23, July.
    2. Michael McLeay & Silvana Tenreyro, 2020. "Optimal Inflation and the Identification of the Phillips Curve," NBER Macroeconomics Annual, University of Chicago Press, vol. 34(1), pages 199-255.
    3. Rose, Andrew K. & Spiegel, Mark M., 2011. "Cross-country causes and consequences of the crisis: An update," European Economic Review, Elsevier, vol. 55(3), pages 309-324, April.
    4. Andrew K. Rose & Mark M. Spiegel, "undated". "Cross-Country Causes and Consequences of the 2008 Crisis: Early Warning," Working Papers 6, Department of the Treasury, Ministry of the Economy and of Finance.
    5. repec:osf:socarx:pc3za_v1 is not listed on IDEAS
    6. Arora, Anuja & Bansal, Shivam & Kandpal, Chandrashekhar & Aswani, Reema & Dwivedi, Yogesh, 2019. "Measuring social media influencer index- insights from facebook, Twitter and Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 86-101.
    7. Binh Thai Pham & Hector Sala, 2022. "Cross-country connectedness in inflation and unemployment: measurement and macroeconomic consequences," Empirical Economics, Springer, vol. 62(3), pages 1123-1146, March.
    8. Aizenman, Joshua & Pasricha, Gurnain Kaur, 2010. "Determinants of Financial Stress and Recovery during the Great Recession," Santa Cruz Department of Economics, Working Paper Series qt5cf9t5cd, Department of Economics, UC Santa Cruz.
    9. Rowe, Francisco & Mahony, Michael & Graells-Garrido, Eduardo & Rango, Marzia & Sievers, Niklas, 2021. "Using Twitter to Track Immigration Sentiment During Early Stages of the COVID-19 Pandemic," SocArXiv pc3za, Center for Open Science.
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