Cluster analysis demonstrates gender differences in youth labor indicators in Turkey and EU countries, highlighting convergence issues.
The aim of this study, which was conducted on the basis of the convergence hypothesis, is to reveal the convergence problems of Turkey towards the European Union based on the basic indicators of the youth labor market. For this purpose, a large gender-disaggregated data set has been constructed with 29 observation units consisting of the European Union Average, European Union Countries and Turkey, using the basic indicators of the youth labor market that point to the future, within Eurostat and Ilostat data. Clustering method, which is one of the advanced statistical techniques, was preferred to determine which countries are similar to each other and which countries are different from each other within the data set. In this context, in the study where non-hierarchical and hierarchical clustering methods were used together, it was concluded that Turkey diverges from the developed countries of the Euro-pean Union such as Denmark, Germany and the Netherlands, and is similar to countries such as EU(27), Bulgaria, Czechia and Italy. Along with this result, it is among the other remarka-ble results of the study that gender differences in the indicators for young men and young women in the youth labor market in Turkey are quite remarkable, and that Turkey's main convergence problem towards the European Union is realized in NEET rates. In this context, the study is completed with suggestions for various policy measures for convergence prob-lems such as NEET, unemployment of young women, low labor force participation rates of young women in Turkey within the scope of sustainable development goals such as quality education and gender equality.
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Kesikoğlu et al. (2025) studied this question.
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