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Research sheds light on how economies may respond to COVID-19 restrictions | |
admin | |
2021-09-01 | |
发布年 | 2021 |
语种 | 英语 |
国家 | 英国 |
领域 | 资源环境 |
正文(英文) | New research from the Imperial College COVID-19 Response Team sheds light on how economies might respond to different levels of COVID-19 restrictions. In the latest report, the researchers developed new methods to forecast Purchasing Managers’ Indices (PMIs) during and after the COVID-19 pandemic and the potential impact of government virus mitigation strategies. PMIs, which survey managers at private businesses on their purchasing intentions, are a leading indicator of the direction of economic activity. "By integrating economic indicators, people behavioural indices and real-time data from the pandemic we are able to forecast a country’s economic performance." Professor Guy Nason Department of Mathematics The researchers, from the Statistics section of the Department of Mathematics, produced six-month forecasts of the UK composite PMI series under different scenarios of COVID-19 mitigation strategies, ranging from easing, to staying unchanged, to tightening between October 2020 and April 2021. The new method also incorporates real-time data on the progress of the pandemic. The researchers created a novel network time series model, which borrows strength from across thirteen world economies over time viewed as a network. GDP forecastsGross domestic product (GDP) economic forecasts were then obtained by modelling the relationship between GDP and PMI using a mixed data sampling (MIDAS) regression model that links monthly PMI indices with quarterly GDP. The team’s results suggested that there would be a 4.5% difference in 2021 Q1 GDP growth and a 4.8% difference in 2021 Q2 GDP growth between the easing and tightening scenarios. In September 2020, under a tightening scenario, the researchers used the model to estimate a drop in GDP of 1.2% for Q1 2021, with prediction ranges of -5.8 to 2.9. The actual value turned out to be a drop of 1.6%, which was close to the prediction and well within the prediction interval. The researchers also predicted an increase of 3.2% for Q2 2021, with prediction ranges of -2.0 to 7.1. This prediction was for a linearly easing scenario from November 2020 until April 2021. The recently announced Office for National Statistics first GDP estimate for Q2 2021 turned out to be a 4.8% increase, which is again well within the prediction range, but the actual underlying conditions were lockdown until 8 March 2021, then a gradual easing. The research will be presented as a Discussion Paper at a Plenary session of the Royal Statistical Society International Conference this September. A new way of forecasting the economic impact of COVID-19Professor Guy Nason, from the Department of Mathematics, said: "This research has revealed a new way to forecast the impact to an economy under different levels of COVID-19 restrictions. "By integrating economic indicators, people behavioural indices and real-time data from the pandemic we are able to forecast a country’s economic performance. "We are very excited by this methodology and pleased with its performance. It could be a useful tool when trying to understand the economic implications of different virus mitigation strategies." James Wei, from the Department of Mathematics, said: “It is our hope that this kind of research can bring greater attention to the exciting field of network time series analysis. We see a lot of potential for similar methods to be applied to fields across both the social and natural sciences”. -- Report 45: Quantifying the economic response to COVID-19 |
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来源平台 | Imperial College London |
文献类型 | 新闻 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/337464 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | admin. Research sheds light on how economies may respond to COVID-19 restrictions. 2021. |
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