Open Conference Systems, CLADAG2023

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COMPARISON OF THE HOUSEHOLDS’ WORK INTENSITY IN SLOVAKIA AND CZECHIA THROUGH LEAST SQUARES MEANS ANALYSIS BASED ON GLM
Silvia Komara, Martina Košíková, Erik Šoltés, Tatiana Šoltésová

Last modified: 2023-06-01

Abstract


: Household work intensity is primarily monitored in the context of identifying (quasi-)jobless households. (Quasi-)jobless households are those whose members use their work potential at a very low level (less than 20%). Persons in such households, together with the income poverty and the severely materially and socially deprived are included in the Europe 2030 Strategy as socially excluded persons who need to be targeted by social policies. Not only unemployment itself, but also (quasi-)joblessness is accompanied by income poverty and various forms of social exclusion, and therefore special attention needs to be paid to such persons and households in the pursuit of social inclusion.

The aim of the paper is to assess the impact of relevant factors and their interactions on the work intensity of households in Slovakia and the Czech Republic and to estimate the work intensity of households broken down by the most important factors. For this purpose, general linear models and resulting estimates of marginal means are employed. Special attention is paid to the contrast analysis of marginal means. Analyses presented in the paper are based on the EU-SILC 2021 statistical survey and are performed by the SAS programming language in the SAS Enterprise Guide analysis software.

The paper reveals the risk groups of persons in terms of work intensity and compares the average work intensity for different profiles of persons determined by a combination of factors with economic activity status. All analyses in the paper are carried out separately for persons living in Slovak and Czech households. Moreover, through a comparative analysis, the paper reveals common and different features of these countries in the work intensity of households. Particular attention is given to the identification of profiles of persons who have a high risk of living in (quasi-)jobless households.