Determination of Poverty Indicators Using Roc Curves in Turkey

Determination of Poverty Indicators Using Roc Curves in Turkey

Zübeyde Çiçek, Hakan Demirgil
Copyright: © 2021 |Pages: 24
DOI: 10.4018/978-1-7998-4706-9.ch001
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Abstract

The present study was conducted to determine the reasons affecting poverty in Turkey and specify the level of significance of these reasons to explain poverty. The data which was analyzed in the study were retrieved from the Household Budget Research which was published by the Turkish Statistical Institute. In the study, logit models have been established by taking into account the demographic and socioeconomic indicators and the characteristics of the household. For each of these models, ROC curves were drawn, and the best model was found with the help of the areas under the curve. The results showed that the model which was developed based on the variables related to housing and the model according to consumption expenditure were determined to be more significant to explain poverty. Also, the rental value of the house, the floor type of the house and household's head educational level were found to be the most significant determinants of poverty according to the analysis of the results.
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Literature

Just as in the whole world, poverty is a major problem that cannot be ignored in Turkey. Therefore, a significant number of studies are conducted on poverty. Some studies about poverty in Turkey and world literature: Dumanlı (1996), calculated the poverty line on the basis of the minimum number of calories required for an individual’s nourishment throughout a day for the years 1987 and 1994. The significance of poverty in Turkish context was also analyzed considering different regions and years and some suggestions were made to reduce the poverty in the study mentioned above.

Key Terms in this Chapter

OECD Modified Equivalence Scale: It is a weight of 1 for the first adult, 0.5 for a household member older than 14 or 14 years old, and 0.3 for a household member younger than 13.

ROC Curve: Receiver operating characteristic curve is a graph that shows the performance of a classification model at all classification thresholds.

Poverty: The condition of not having sufficient material property or income for a person's needs.

Household Budget Survey: It is a survey of micro data on the socio-economic status of the household, the composition of the household, the employment status of the individuals and the income they earn, and the consumption expenditures based on the subgroups of the household.

Poverty Line: A value of half the median income or consumption expenditures of equivalent household member.

Equivalent Household Member: It is a value calculated in proportion to the size of each household and the age of the household members. It allows us to compare the income and consumption expenditures values of households.

AuC: Area under the Roc Curve is the entire two-dimensional area under the ROC curve.

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