Factors Influencing the Household Relative Poverty in Turkey: Logistic Regression Analysis

Nurgül Evci̇m, Sevcan Güneş and Hacer Simay Karaalp-Orhan

Sosyoekonomi Journal, 2020, issue 28(43)

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 was used. The poverty line was calculated by using 60% of the household median income. In the binary logistic regression analysis, poor and non-poor shares of population was determined according to the poverty line and used as the dependent variables. Household demographic characteristics, labour market conditions and geographical characteristics were employed as explanatory variables. The estimation results indicate that education, age, formal employment, and employment in industry sector decreases relative household poverty. On the contrary, unemployment, causal employee, marriage and household size increase the risk of household poverty.

Keywords: Turkey; Household Poverty; Income and Living Conditions Survey Micro Data Set; Binary Logistic Regression. (search for similar items in EconPapers)
JEL-codes: C01 I30 I32 P36 R20 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:sos:sosjrn:200101

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