Dynamics of survey responses before and during the pandemic: entropy and dissimilarity measures app

Q4 Mathematics
Emilia Tomczyk
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引用次数: 0

Abstract

This article is set within the framework of studies focusing on the impact of the SARS-CoV-2 virus on the dynamics of economic activity. For the purposes of the analysis of the expectations expressed in business tendency surveys, the paper aims to verify whether the pandemic of 2020-2022 can be seen as just another contraction phase. Entropy and dissimilarity measures are employed to study the characteristics of the expectations and assessments expressed in the business tendency survey of Polish manufacturing companies. The empirical results show that the dynamics of the manufacturing sector data, particularly as far as general economic conditions are concerned, set the pandemic period apart. The economic consequences of the COVID-19 pandemic expressed in business tendency surveys tend to be unfavourable, but the statistical properties or the degree of the concentration of respondents’ answers do not correspond closely either to the expansion or contraction phases of the business cycle.
大流行之前和期间调查反应的动态:熵和不相似性测量app
这篇文章是在专注于严重急性呼吸系统综合征冠状病毒2型病毒对经济活动动态影响的研究框架内发表的。为了分析商业趋势调查中表达的预期,本文旨在验证2020-2022年的疫情是否可以被视为另一个收缩阶段。采用熵和相异性度量来研究波兰制造企业商业趋势调查中表达的期望和评估的特征。实证结果表明,制造业数据的动态,特别是就总体经济状况而言,使疫情期间与众不同。商业趋势调查中表达的新冠肺炎大流行的经济后果往往是不利的,但统计属性或受访者答案的集中程度与商业周期的扩张或收缩阶段都不密切对应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Statistics in Transition
Statistics in Transition Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
1.00
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: Statistics in Transition (SiT) is an international journal published jointly by the Polish Statistical Association (PTS) and the Central Statistical Office of Poland (CSO/GUS), which sponsors this publication. Launched in 1993, it was issued twice a year until 2006; since then it appears - under a slightly changed title, Statistics in Transition new series - three times a year; and after 2013 as a regular quarterly journal." The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public. Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.
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