Klaster analiza odabranih europskih zemalja u kontekstu položaja mladih na tržištu rada

Abstract

Ideja ovoga rada jest napraviti multivarijatnu analizu i to klaster analizu odabranih europskih zemalja pomoću Wardove (hijerarhijske) i K-means (nehijerarhijske) metode. U fokusu su mlade osobe, u dobi od 15 do 24 godine, koje ne sudjeluju u obrazovnom procesu. Klastere čini 18 odabranih europskih zemalja, a vremenske točke u analizi su 2010. i 2019. godina. Cilj je identificirati i grupirati zemlje temeljem pet odabranih varijabli, tako da su one unutar klastera što homogenije, a sami klasteri međusobno heterogeni. Dobiveni rezultati međusobno su uspoređeni kako bi se utvrdila dinamika promjene položaja mladih na tržištu rada tijekom vremena. Usporedba je provedena dvojako, tako da su najprije stavljeni u odnos ishodi dobiveni različitim metodama, a potom i vremenskim točkama. Klaster analiza polučila je trojaku podjelu zemalja na tržištu rada u Europi.

Alternate abstract:

The idea of ​​this work is to make a multivariate analysis and a cluster analysis of selected European countries using Ward's (hierarchical) and K-means (non-hierarchical) methods. The focus is on young people, aged 15 to 24, who do not participate in the educational process. The clusters consist of 18 selected European countries, and the time points in the analysis are 2010 and 2019. The goal is to identify and group countries based on five selected variables, so that those within the cluster are as homogeneous as possible, and the clusters themselves are mutually heterogeneous. The obtained results were compared with each other in order to determine the dynamics of changes in the position of young people on the labor market over time. The comparison was carried out in two ways, so that the results obtained by different methods were first compared, and then the time points. Cluster analysis resulted in a threefold division of countries on the labor market in Europe.