2001年至2017年维谢格拉德集团国家失业率和失业持续时间之间的相互关系

Equilibrium Pub Date : 2019-04-07 DOI:10.24136/EQ.2019.006
K. Dmytrów, Beata Bieszk-Stolorz
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引用次数: 13

摘要

研究背景:描述劳动力市场状况的最重要指标是失业率和失业持续时间。如果这两个指标都很高,那么人力资本就会恶化。因此,分析它们之间的相互关系似乎是合理的。文章目的:本文旨在找出失业率和失业持续时间之间的关系,并检查维谢格拉德集团国家这两个指标的相互过程是否相互关联。方法:采用商业周期时钟法分析失业率与失业持续时间中位数之间的关系。接下来,将通过Pearson乘积矩相关系数和动态时间扭曲(DTW)技术来分析这两个指标的过程的相似性。调查结果和附加值:在分析的国家中,捷克、波兰和斯洛伐克在失业率和失业持续时间的相互过程方面在一定程度上相似。直到2009年金融危机达到顶峰,失业率和失业持续时间都有所下降。在接下来的几年里,失业率不断上升,2-3年后,失业时间也在增加。2013年之后,情况有所改善,这两项指标都在下降。相反,在匈牙利,失业率一直在上升或稳定,直到2012年,在接下来的几年里,失业率开始下降。然而,失业持续时间与其他国家完全不同。本文的附加值是应用商业时钟周期和动态时间扭曲技术来寻找失业率和失业持续时间之间的关系和相似性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mutual relationships between the unemployment rate and the unemployment duration in the Visegrad Group countries in years 2001–2017
Research background: The most important indicators that describe the situation on the labour market are the unemployment rate and the unemployment duration. If both these indicators are high, then the human capital deteriorates. Therefore, it seems justified to analyse the mutual relationships between them. Purpose of the article: The article aims at finding the relationships between the unemployment rate and the unemployment duration, and checking if the mutual courses of these two indicators in the Visegrad Group countries are connected with each other. Methods: The business cycle clock methodology will be used to analyse the relationship between the unemployment rate and the median unemployment duration. Next, the similarity of the course of these two indicators will be analysed by means of the Pearson product-moment correlation coefficient and the Dynamic Time Warping (DTW) technique. Findings & Value added: Amongst the analysed countries, Czechia, Poland and Slovakia were, to a certain degree, similar with respect to the mutual course of the unemployment rate and the unemployment duration. Until the peak of the financial crisis in 2009, the unemployment rate and the unemployment duration decreased. During the next years, the unemployment rate was increasing and after 2-3 years it was followed by the increase of the unemployment duration. The situation improved after the year 2013 — both indicators were decreasing. In Hungary, on the contrary, the unemployment rate was increasing or steady until 2012, and during the following years it started to decrease. However, the course of the unemployment duration was completely different than in remaining countries. The value added of the article is application of the business clock cycle and the Dynamic Time Warping technique in finding the relationships and similarity of courses between the unemployment rate and the unemployment duration.
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