Factors Influencing The Household Relative Poverty In Turkey: Logistic Regression Analysis

Year 2020, Volume: 28 Issue: 43, 11 - 32, 25.01.2020

Nurgül Evcim , Sevcan Güneş , Hacer Simay Karaalp-orhan

https://doi.org/10.17233/sosyoekonomi.2020.01.01

Cited By: 4

Abstract

This study investigates the factors that determine the relative household poverty which prevents the growth of social welfare in Turkey. For this purpose, Turkish Statistical Institute (Turkstat) (2017) Income and Living Conditions micro dataset were used. The poverty line is calculated by using 60% of household median income. In the binary logistic regression analysis, dependent variable was considered as poor and non-poor according to poverty line. Household demographic characteristics, labour market conditions and geographical characteristics are employed as explanatory variables. The estimation results indicate that education, age, formal employment, employment in industry sector decreases relative household poverty. On the contrary unemployment, causal employee, marriage and size of the household increase the risk of household poverty.

Keywords

Turkey, Household Poverty, Income and Living Conditions Survey Micro Data Set, Binary Logistic Regression

Türkiye'de Hanehalkı Göreli Yoksulluğunu Etkileyen Faktörler: Lojistik Regresyon Analizi

Abstract

Bu çalışmada, Türkiye’de toplumsal refah artışını engelleyen hanehalkı göreli yoksulluğunun, boyutları ve temel belirleyici faktörleri incelenmektedir. Bu amaçla analizde Türkiye İstatistik Kurumu (TÜİK) (2017) yılı Gelir ve Yaşam Koşulları Araştırması mikro veri seti kullanılmıştır. İlk olarak hanehalkı medyan fert gelirinin %60’ına göre yoksulluk sınırı hesaplanmıştır. Bağımlı değişkenin yoksulluk sınırına göre yoksul ve yoksul olmayanlar olarak ele alındığı İkili Lojistik Regresyon analizinde, hanehalkı demografik özellikleri, işgücü piyasası ve coğrafi özellikleri içeren açıklayıcı değişkenler kullanılmıştır. Elde edilen sonuçlara göre Türkiye’de eğitim düzeyi, yaş, Sosyal Güvenlik Kurumu’na kayıtlı olma ve sanayi sektöründeki istihdam yoksulluk riskini azaltırken işsizlik, yevmiyeli çalışma, evli olma ve hane büyüklüğü yoksulluk riskini artırmaktadır.

Keywords

Türkiye, Yoksulluk, Gelir ve Yaşam Koşulları Araştırması Mikro Veri Seti, İkili Lojistik Regresyon Analizi

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