Impacts of the Covid-19 crisis on unemployment in Slovakia: a statistically created counterfactual approach using the time series analysis

Equilibrium Pub Date : 2022-06-25 DOI:10.24136/eq.2022.012
K. Kramarova, Lucia Švábová, Barbora Gabrikova
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引用次数: 7

Abstract

Research background: The current health crisis, which began to take shape in mid-March 2020 due to the massive spread of the coronavirus SARS-CoV-2, has shaped the face of the Slovak labour market the most. Slovakia, similarly, to other countries in the world, has operated with several non-pharmaceutical anti-pandemic measures taken by the government to reduce the spread of the virus or reverse adverse developments. On the other hand, these measures have frozen production, and business activities of companies annulled not only the number of physical meetings with business collaborators but also business contracts themselves. Consequently, the demand for new labour has decreased, and in many cases, redundancies have occurred. Purpose of the article: The study aims to develop a comprehensive and detailed analysis of unemployment and its development in Slovakia, during the 1st and 2nd wave of the Covid-19 pandemic, determine the extent to which the anti-pandemic measures have affected the Slovak labour market, and identify the most affected groups of unemployed. Methods: To analyze the impact of the anti-pandemic measures on the unemployment situation in Slovakia, we applied the approach where the statistically created hypothetical state of the absence of the pandemic was compared with the real state as the consequence of the pandemic. The hypothetical state was modelled by the autoregressive 1st order or one-dimensional time series model with a linear trend and seasonability. Findings & value added: The results of the analysis identify the groups of the population, mostly affected by the Covid-19 pandemic together with the quantification of the impact on unemployment. The findings of quantification of the impact of the Covid-19 crisis on the Slovak labour market can be further used in creating targeted measures aimed at supporting unemployed individuals or at the sustainability of already existing jobs and in other governmental economic and social decisions.
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新冠肺炎危机对斯洛伐克失业率的影响:使用时间序列分析的统计创建的反事实方法
研究背景:由于冠状病毒SARS-CoV-2的大规模传播,目前的卫生危机于2020年3月中旬开始形成,对斯洛伐克劳动力市场的影响最大。与世界上其他国家一样,斯洛伐克也采取了政府为减少病毒传播或扭转不利事态发展而采取的若干非药物抗流行病措施。另一方面,由于这些措施,生产被冻结,企业的经营活动不仅与业务合作伙伴的实际会面次数被取消,而且业务合同本身也被取消。因此,对新劳动力的需求减少了,在许多情况下,出现了裁员。文章的目的:这项研究的目的是全面、详细地分析斯洛伐克在Covid-19大流行第一波和第二波期间的失业及其发展情况,确定抗流行病措施对斯洛伐克劳动力市场的影响程度,并确定受影响最大的失业群体。方法:为了分析抗流行病措施对斯洛伐克失业状况的影响,我们采用了一种方法,将统计上创建的没有流行病的假设状态与流行病造成的实际状态进行比较。假设状态采用自回归的一阶或一维时间序列模型,具有线性趋势和季节性。发现和增值:分析结果确定了受Covid-19大流行影响最大的人口群体,并量化了对失业的影响。Covid-19危机对斯洛伐克劳动力市场影响的量化结果可进一步用于制定有针对性的措施,以支持失业人员或现有工作的可持续性,并用于政府的其他经济和社会决策。
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