مجلة الاقتصاد والمالية
Volume 10, Numéro 1, Pages 155-180
2024-01-19

Exploring And Characterizing The Dispersion Of Wages In Algeria, Using The Two Methods "principal Components Analysis And Hierarchical Ascending Clustering "



Authors : Adjout Abdelkader .

Abstract

Abstract: This study mainly aims to compare the temporal evolution from 2009 to 2019 of the monthly average net wages received by workers in their various categories of qualifications, within the various economic activities in the legal, public and private sectors in Algeria. This comparison, which the study aims at, is based on a multidimensional statistical analysis of the dispersion of wages in Algeria, using two integrated methods represented in the analysis by the principal components and the hierarchical ascending clustering according to the Ward algorithm. After the two processes of analyzing the data, using the statistical software R, and interpreting the results of the two methods, it was concluded that 18 dimensions representing the variables of the study were summarized into two dimensions that represent two principal components, which we were able to name as the factor of average activity wages for the study period and the factor of the extent of wage dispersion between executives and enforcement agents within the activity. According to these two factors, the clustering process produced five different groups of activities.

Keywords

Wage dispersion ; principal component ; hierarchical clustering.

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