利用奇异谱分析研究新冠肺炎疫情对工业生产指标的影响

Pub Date : 2023-01-01 DOI:10.4310/21-sii719
Sofia Borodich Suarez, A. Pepelyshev
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引用次数: 0

摘要

本文研究了新冠肺炎疫情对法国、德国和英国这三个主要欧洲国家8项不同工业生产指标的影响。该分析是基于应用奇异谱分析(SSA)算法的组合,以一种允许适当分离iip的趋势和季节性子周期的方式。主要目的是说明如何对特定系列进行SSA正确分解的过程。对准确提取的趋势进行分析,并计算大流行的影响。研究结果证实,食品和公用事业等必需品的需求收入弹性较低,因为COVID-19的影响对这些国际投资产品可以忽略不计。然而,对于非必需产品的iip,负面影响要极端得多,尽管其严重程度取决于几个因素,这也与经济理论©2023,Statistics and its Interface一致。版权所有。
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Study of impact of COVID-19 on industrial production indices using singular spectrum analysis
This paper investigates the impact of the COVID-19 pandemic on 8 different indices of industrial production (IIPs) for three major European countries: France, Germany, and the UK. The analysis is based on applying a combination of Singular Spectrum Analysis (SSA) algorithms, in a way that allows for the proper separation of the trend and seasonal subcycles of the IIPs. The main purpose is to illustrate how to carry out the procedure of the correct decomposition by SSA for the specific series. The accurately extracted trends are analysed and the influence of the pandemic is calculated. The results confirm that necessary goods, such as food and utilities, have low income elasticity of demand since the effect of COVID-19 is negligible for these IIPs. However, for the IIPs of less essential products, the negative impact is much more extreme, although the severity varies depending on several factors, which also aligns with the economic theory © 2023, Statistics and its Interface.All Rights Reserved.
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