İNTİHARIN GELİŞMİŞLİK VE CİNSİYET BAĞLAMINDA İNCELENMESİ: YEREL POLİNOMİYAL VE YEREL KANTİL MODEL YAKLAŞIMLARI

Bu çalışmada, daha önce doğrusal veya eğrisel olarak tespit edilen intihar oranları ile ülkelerin insani gelişmişlik düzeyi arasındaki ilişki nonparametrik olarak incelenmiştir. İlişkinin cinsiyete bağımlılığı düşünülerek kadın, erkek ve genel intihar oranları ayrı ayrı analiz edilmiştir. Yine farklı intihar oranlarına sahip ülkeler için ilişkinin yapısını incelemek amacıyla kantil modeller kullanılmış ve esneklik kazanmak için bu modeller de nonparametrik olarak tahmin edilmiştir. Sonuçta, gelişmişlik düzeyi ile intihar oranları arasında doğrusal olmayan bir ilişkinin var olduğu ve bu ilişkinin cinsiyete göre farklılaştığı tespit edilmiştir. Genel ve erkek intihar oranları için ters U, kadın intihar oranlarında ise normal U biçiminde karesel bir ilişkinin olduğu ve bu ilişki yapılarının intihar oranları yükseldikçe daha belirgin hale geldiği görülmüştür.

Anahtar Kelimeler:

İntihar, İnsani Gelişmişlik, Yerel Polinomiyal Modeller, Yerel Kantil Modeller

INVESTIGATING SUICIDE IN THE CONTEXT OF DEVELOPMENT AND GENDER: LOCAL POLYNOMIAL AND LOCAL QUANTILE MODEL APPROACHES

In this study, the relationship between suicide rates and the human development level, which were previously determined linearly or curvilinear, was examined nonparametrically. Considering the dependence of the relationship on gender, female, male and general suicide rates were analyzed separately. In addition, quantile models were used to examine the structure of the relationship for countries with different suicide rates, and these models were also estimated nonparametrically to gain flexibility. As a result, it has been determined that there is a non-linear relationship between development level and suicide rates and this relationship differs according to gender. It was observed that there was an inverted U for the general and male suicide rates, and a U-shaped relationship in female suicide rates, and these relationship structures became more pronounced as suicide rates increased.

Keywords:

Suicide Rates, Human Development, Local Polynomial Models, Local Quantile Models,

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