TY  - JOUR
T1  - Gelir Eşitsizliği Bireylerin Refahını Etkiler mi? Türkiye’den Bulgular
TT  - Does Income Inequality Affect The Well-Being of Individuals? Findings From Turkey
AU  - Yücel, Ahmet
AU  - Erikli, Süheyla
PY  - 2019
DA  - December
Y2  - 2019
DO  - 10.38122/ased.598728
JF  - Aksaray Üniversitesi Sosyal Bilimler Enstitüsü Dergisi
JO  - ASED
PB  - Aksaray Üniversitesi
WT  - DergiPark
SN  - 2619-9211
SP  - 243
EP  - 260
VL  - 3
IS  - 2
LA  - tr
AB  - Ekonomik gelirseviyesi, bireylerin ve toplumun davranışlarını belirleyen en önemlifaktörlerden biridir. Neredeyse her tür sosyal alanda yaşam kalitesi vememnuniyet oranları ekonomik seviyeye paralel olarak azalmakta veyaartmaktadır. Bu çalışmanın temel amacı, Türkiye'de gelir eşitsizliğinin sağlıkve sosyal problemler üzerindeki etkisini analiz etmektir. Veri analiz yöntemiolarak, çok değişkenli adaptif regresyon katmanları (Multivariate adaptiveregression splines (MARSplines)) algoritması kullanılmıştır. Veri seti, ekonomikve ekonomik olmayan değişkenlerden oluşmaktadır. Bu sebeple, regresyonmodelinin bağımlı değişkeni, bir gelir eşitsizliği ölçü birimi olan, ginikatsayısı olarak belirlendi ve bu değişkenin ilgili TÜİK veri kümesi ile olanilişkisi incelendi. Sonuçlar, tüm bağımsız değişkenlerin belirli seviyelerdegelir eşitsizliğini etkileyici bir potansiyele sahip olduğunu ortayakoymaktadır. Ayrıca, MARSplines algoritması kullanılarak veri setinin yaklaşık %99'unu açıklayabilen bir ilişki modeli oluşturulmuştur. Bu sonuçlar, Türkiyeözelinde, gelir eşitsizliği ve bireylerin refah düzeyleri arasında kuvvetli birilişkinin olduğunu ortaya koymaktadır. İlgi değişkenlerin model içinde sahipoldukları katsayıların sayısal değerleri, değişkenin ilişki üzerindekietkisinin yönünü ve büyüklüğünü ortaya koymaktadır.
KW  - Mutluluk
KW  - Gini Katsayısı
KW  - MARSplines Analizi
KW  - Türkiye
N2  - Economic income levelis one of the most important factors determining the behavior of individualsand society. In almost all social areas, the quality of life and satisfactionrates are decreasing or increasing parallel to the economic level. The main purposeof this study is to analyze the effects of income inequality on health andsocial problems in Turkey. Multivariate adaptive regression splines(MARSplines) algorithm was used as data analysis method. The dataset consistsof economic and non-economic variables. The common feature of all thesevariables is that they can directly evaluate people's lives through social andhealth issues and have the potential to change in proportion to their incomelevel. For this reason, the dependent variable of the regression model wasdetermined as the gini coefficient, which is a measure of income inequality,and its relationship with the related dataset was examined. The results showthat all independent variables have an impressive potential of incomeinequality at certain levels. In addition, using the MARSplines algorithm, arelationship model that can explain approximately 99% of the data set wascreated. These results, with respect to Turkey based data-set, reveals thatthere is a strong correlation between individuals' welfare and incomeinequality. Numerical values of the coefficients of the parameters taking placein the model reveal the direction and size of the effect of the variables onthe relationship
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UR  - https://doi.org/10.38122/ased.598728
L1  - https://dergipark.org.tr/tr/download/article-file/907648
ER  -