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Exploratory analysis of selected indicators of the Czech Republic regional labour markets

机译:探索性分析捷克共和国区域劳动力市场的某些指标

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This paper is focusing on the presentation of statistic exploratory procedures enabling the evaluation of the disparities in regional labour markets in the Czech Republic. Most of the data on labour markets are of multidimensional nature since both employment and unemployment can be described by a lot of various indicators offered by the Ministry of Labour and Social Affairs of the Czech Republic and by the Czech Statistical Office. An analysis of the data collected hence, has to employ multivariate statistical procedures. The choice of indicators in the study presented has been carried out such that it can represent the phenomena basically affecting the economic position of separate regions. The number of indicators analyzed has been limited by the level of applicability of the multivariate methods of statistical processing chosen. In order to reach the target of the paper the indicators of employment and unemployment have been applied to order the separate CR regions and to identify the regions outlying. To this end a composite indicator has been constructed by the so-called point method, one that is capable of aggregating the information supplied by all the separate indicators considered. The first section of the paper describes the way of construction of this aggregate indicator. In the next section then, some algorithms of the cluster analysis are introduced that have been employed to classify regional labour markets of the CR in more detail.
机译:本文重点介绍统计探索程序,以评估捷克共和国区域劳动力市场的差异。劳动力市场的大多数数据具有多维性质,因为就业和失业都可以由捷克共和国劳动和社会事务部以及捷克统计局提供的许多指标来描述。因此,对收集到的数据的分析必须采用多元统计程序。在进行的研究中对指标的选择已经完成,因此它可以代表基本影响单独地区经济地位的现象。分析的指标数量受到所选择的统计处理多元方法的适用性水平的限制。为了达到本文的目标,已采用就业和失业指标来对单独的CR地区进行排序并确定偏远地区。为此目的,已经通过所谓的点方法构造了一种综合指标,该指标能够汇总由所有考虑的单独指标提供的信息。本文的第一部分描述了该总体指标的构建方式。然后,在下一部分中,将介绍一些聚类分析算法,这些算法已被用于对CR的区域劳动力市场进行更详细的分类。

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