使用GLM参数线性组合的测试和估计分析斯洛伐克的工作强度

IF 0.6 4区 经济学 Q4 ECONOMICS
Eric Šoltés, Silvia Komara, Tatiana Šoltésová, M. Misut
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引用次数: 0

摘要

不仅失业本身,而且家庭工作强度的降低对一个人的社会排斥也有重大影响。欧洲目前正在监测家庭的工作强度,主要是为了查明那些被排除在劳动力市场之外的人或家庭。家庭的工作强度直接影响劳动力市场的包容或排斥,这是三个社会排斥维度之一。此外,正如几项研究证实的那样,它还从根本上影响社会排斥的其他两个方面,即收入贫穷和物质匮乏。本文的目的是评估与一个人的经济活动状况相互作用的哪些因素显著影响家庭的工作强度,并根据这些因素来估计家庭的工作强度。为此,使用了一般线性模型和相关的边际均值分析和对比分析。分析基于斯洛伐克共和国的EU-SILC 2020数据库,并在SAS企业指南中执行,并通过使用CONTRAST和ESTIMATE语句的SAS编程语言中的PROC GLM进行。这篇文章研究了哪些水平的重要因素在一个家庭的工作强度方面存在显著差异,并特别提供了根据家庭类型、教育程度和个人年龄对工作强度的估计。同时,在这三种情况下,家庭都是根据个人的经济活动状况来划分的。所提出的分析从所考虑的因素的角度揭示了受劳动力市场排斥威胁最大和最小的人的类别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of work intensity in Slovakia using testing and estimation of linear combinations of GLM parameters
Not only unemployment itself but also the reduced work intensity of a household has a major impact on the social exclusion of a person. The work intensity of households is currently being monitored in Europe mainly for purposes of identifying those people or households that are excluded from the labour market. The households’ work intensity directly affects the inclusion or exclusion from the labour market, which is one of the three social exclusion dimensions. Moreover, it also, as confirmed by several studies, fundamentally affects the other two dimensions of social exclusion, namely income poverty and material deprivation. The aim of the paper was to assess which factors in interaction with the economic activity status of a person significantly affect the household’s work intensity and, depending on these factors, to estimate the household’s work intensity. For this purpose, the general linear model and the associated analysis of marginal means and the contrast analysis were used. The analyses are based on a database EU-SILC 2020 for the Slovak Republic and performed in the SAS Enterprise Guide and by means of PROC GLM in the SAS programming language using CONTRAST and ESTIMATE statements. The article examines between which levels of significant factors there is a significant difference in terms of a household’s work intensity and in particular provides estimates of work intensity depending on the household type, educational attainment level and the age of a person. At the same time, in all three cases households are broken down by the economic activity status of the person. The presented analyses revealed categories of persons that are the most and the least threatened by labour market exclusion from the point of view of the considered factors.
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