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Predicting the Economic Impact of the COVID-19 Pandemic in the United Kingdom Using Time-Series Mining

Ahmed Rakha, Hansi Hettiarachchi, Dina Rady, Mohamed Medhat Gaber, Emad Rakha and Mohammed M. Abdelsamea
Additional contact information
Ahmed Rakha: School of Business, Nottingham University, Nottingham NG8 1BB, UK
Hansi Hettiarachchi: School of Computing and Digital Technology, Birmingham City University, Birmingham B4 7XG, UK
Dina Rady: Economics Department, George Washington University, Washington, DC 20052, USA
Mohamed Medhat Gaber: School of Computing and Digital Technology, Birmingham City University, Birmingham B4 7XG, UK
Emad Rakha: School of Medicine, Nottingham University, Nottingham NG8 1BB, UK
Mohammed M. Abdelsamea: School of Computing and Digital Technology, Birmingham City University, Birmingham B4 7XG, UK

Economies, 2021, vol. 9, issue 4, 1-19

Abstract: The COVID-19 pandemic has brought economic activity to a near standstill as many countries imposed very strict restrictions on movement to halt the spread of the virus. This study aims at assessing the economic impacts of COVID-19 in the United Kingdom (UK) using artificial intelligence (AI) and data from previous economic crises to predict future economic impacts. The macroeconomic indicators, gross domestic products (GDP) and GDP growth, and data on the performance of three primary industries in the UK (the construction, production and service industries) were analysed using a comparison with the pattern of previous economic crises. In this research, we experimented with the effectiveness of both continuous and categorical time-series forecasting on predicting future values to generate more accurate and useful results in the economic domain. Continuous value predictions indicate that GDP growth in 2021 will remain steady, but at around −8.5% contraction, compared to the baseline figures before the pandemic. Further, the categorical predictions indicate that there will be no quarterly drop in GDP following the first quarter of 2021. This study provided evidence-based data on the economic effects of COVID-19 that can be used to plan necessary recovery procedures and to take appropriate actions to support the economy.

Keywords: COVID-19; economic impacts; UK; industry; gross domestic products (search for similar items in EconPapers)
JEL-codes: E F I J O Q (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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