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利用 Twitter 情绪对 COVID-19 大流行的宏观经济反应进行跨国分析。

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

机构信息

Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), York University, Toronto, Canada.

Laboratory for Industrial and Applied Mathematics, York University, Toronto, Canada.

出版信息

PLoS One. 2022 Aug 24;17(8):e0272208. doi: 10.1371/journal.pone.0272208. eCollection 2022.

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.

摘要

新冠疫情对全球经济造成了毁灭性影响。在本文中,我们使用菲利普斯曲线对比分析了三个具有不同收入水平的国家(中下等收入国家尼日利亚、中等偏上收入国家南非和高收入国家加拿大)的宏观经济情况。我们的目标是:(1)比较疫情期间和疫情前三个国家的宏观经济变化;(2)对比各国对新冠疫情经济危机的应对措施;(3)比较它们在不久的将来对新冠疫情的经济反应。我们的工作优势在于,我们按月分析宏观经济,以捕捉封锁带来的冲击和快速变化。我们使用推特数据的数量和社会情绪来近似宏观经济统计数据。我们应用了四种不同的机器学习算法来按月估算南非和尼日利亚的失业率。结果表明,在疫情初期,所有三个国家的失业率都有所上升。然而,加拿大能够在新冠疫情期间控制并降低失业率。尽管如此,与菲利普斯曲线短期效应一致,加拿大的通胀率上升到了 15 年来从未有过的水平。尼日利亚和南非未能控制失业率,且未能恢复到疫情前的水平。然而,两国的通胀率都有所上升。南非的通胀率仍与疫情前水平相当,但根据菲利普斯曲线短期效应,如果失业率下降,通胀率将会进一步上升。不幸的是,尼日利亚正经历着恶性滞胀,失业率和通胀率都大幅上升。这表明中低收入国家在封锁和经济限制面前是多么脆弱。在不久的将来,所有国家的主要关注点都是高通胀率。这项工作可能会根据社交媒体内容制定出更有针对性且更能被公众接受的政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d66/9401163/56cbab734eed/pone.0272208.g001.jpg

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