TÜRKİYE’DE BÖLGESEL NEET VERİLERİNİN MEKANSAL PANEL VERİ ANALİZİ

Ülkelerin toplumsal ve ekonomik gelişmelerinde genç nüfus önemli bir yere sahiptir. Sosyal ve ekonomik politikalarda avantaj olarak görülen genç nüfusun eğitim, istihdam ve yetiştirmede olması ülkelerin gelişmişlik düzeylerine ve ekonomilerine olumlu etki sağlarken eğitim, öğretim ve yetiştirme dışında kalan gençler sosyal ve ekonomik açıdan ülkelere maliyet oluşturmaktadır. Türkiye 2020 yılı verilerine göre OECD ülkeleri arasında her iki cinsiyette ve toplam oranda en yüksek NEET (“Not in Education, Employment or Training”, “Ne Eğitimde Ne İstihdamda Ne De Yetiştirmede”) oranına sahip ülke konumundadır. NEET konusu Türkiye için özel önem gerektiren bir konu hâline gelmiştir. Bu nedenle bu çalışmada Türkiye’de 15-24 yaş aralığındaki istihdam, eğitim ve yetiştirmede olmayan genç oranlarının bölgesel düzeydeki etkileşimlerini incelemek amacıyla mekansal analiz yapılmıştır. NEET oranını etkilediği düşünülen değişkenler modele dahil edilmiş ve çıkan sonuçlara göre mekansal etkinin mekansal hata teriminden kaynaklandığı yani bir bölgedeki NEET oranları ile komşu bölgedeki NEET oranları arasında doğrudan bir ilişki olmadığını ancak mekansal ilişkilerden kaynaklanan bağımlılığın mevcut olduğunu göstermiştir.

Anahtar Kelimeler:

NEET, Mekansal Panel Veri Analizi., sabit etkili mekansal hata modeli

SPATIAL PANEL DATA ANALYSIS OF REGIONAL NEET DATA IN TURKEY

The young population has a prominent place in the social and economic development of the countries. While the young population, seen as an advantage in social and economic policies, has a positive effect on the level of development and economy of the countries in terms of education, employment, and training; young people who are out of education and training, cause a cost to the countries in terms of social and economic terms. According to 2020 data, Turkey has the highest NEET rate country for both genders and in total rates among OECD countries. NEET has become an issue that requires special attention for Turkey. Therefore, in this study, spatial analysis was conducted to examine the regional-level interactions of the rates of youth in education, employment, and training (NEET) aged 15-24 in Turkey. The variables thought to affect the NEET rate were included in the model, and results showed that the spatial effect stems from the spatial error term that there is no direct relationship between the NEET rates in a region and the NEET rates in the neighboring region. However, there is dependence arising from spatial relationships.

Keywords:

NEET, Spatial Panel Data Analysis, Fixed Effect Spatial Error Model,

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