Analiza zaposlenosti mladih u Europskoj uniji korištenjem otkrivanja znanja iz baza podataka

master's thesis

• Title (english): Analysis of youth employment in the European union by using database knowledge
• Author: Katarina Bagić
• Mentor: Mirjana Pejić Bach (mentor); MBZ: 213892
• Committee member: Mirjana Pejić Bach (predsjednik povjerenstva)
• Committee member: Jovana Zoroja (član povjerenstva)
• Committee member: Ivan Strugar (član povjerenstva)
• Granter: University of Zagreb; Faculty of Economics and Business; (Department of Informatics); Zagreb
• Defense date and country: 2020-06-10, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Economics; Business Informatics

Abstract

Na razini Europske unije prepoznata je važnost ulaganja u obrazovanje mladih kako bi se olakšao prijelaz iz obrazovanja u svijet rada. Provedbom metode klaster analize nad zaposlenim mladim stanovništvom Europske unije, s različitim razinama obrazovanja, ostvarili su se ciljevi ovog rada. Dobiveni podaci grupirani su u četiri različita klastera, za sve tri provedene analize, te su rezultati grafički prikazani. U klasteru A nalaze se zemlje s najvišom razinom zaposlenosti dok se u D klasteru nalaze one zemlje koje najviše zaostaju sa stopom zaposlenosti mladih na europskoj razini. Mladi s visokim stupnjem obrazovanja ujedno su i u najvećem postotku zaposleni. Također, rezultati analize pokazali su da su muškarci više zaposleni od žena obzirom na razine obrazovanja u sve tri kategorije. Usklađenost obrazovnog sustava i ponude poslova na tržištu rada važan su faktor za povećanje zaposlenosti mladih.

Abstract (english)

At European union level, the importance of investing in youth education to facilitate the transition from education to the labor market has been recognized. By implementing the cluster analysis method on the employed young population of the European Union with different levels of education, the goals of this paper have been achieved. The obtained data were grouped into four different clusters for all three performed analyzes and the results were graphically presented. Cluster A contains the countries with the highest level of employment, while cluster D contains those countries that lag the most behind the youth employment rate at the european level. Young people with a high level of education are at the same time employed in the largest percentage. Also, the results of the analysis showed that men are more employed than women considering all three levels of education. The harmonization of the education system and the supply of jobs on the labour market are an important factor in increasing youth employment.

• Keywords: otkrivanje znanja iz baza podataka; klaster analiza; zaposlenost mladih; tržište rada; obrazovanje
• Keywords (english): Database knowledge; Cluster analysis; youth employment; labor market; education
• Language: croatian
• URN:NBN: urn:nbn:hr:148:785795
• Study programme: Title: Economics; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2020-06-10 21:02:00