Author
Çağlayan-Akay, E., Sedefoğlu, Gülşah
Publication Date
2017-04
Publication Place
-
Centre of Sociological Research (CSR)
Subject
Poverty, Household poverty, Probit, Bayesian probit regression
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
2306-3483
Record ID
85d05bf4-f07c-4363-9134-9033bef1df11
Library Location
Professional Flight Program
Date
2017-04
Notes
Marmara University Scientific Research Project Committee
Sample Text
The objectives of the study are to examine the determinants of the poverty status and to illustrate the probabilities of household poverty in Turkey using Household Budget Survey which was prepared by Turkish Statistical Institute, 2013. The data is reorganized as rural and urban area considering female- and male-headed households so that to analyze the determinants of household
poverty. Bayesian probit regression is applied using a Markov Chain algorithm, Gibbs sampler. Results of the study show that the most effective variables,
which cause a decrease of the probability of living under poverty line, are education level of bachelor for 4 years, master and PhD for female-headed
households and household type of being single adult for male-headed households in urban area, working full time for male- and female-headed households in rural area. However, other most remarkable variables, which cause an increased risk of poverty, are being elderly, disabled or inoperable for male-headed households, being illiterate for female-headed households in urban area and for rural area, being elderly, disabled or inoperable for male- and marital status of being single for female-headed households.
DOI
10.14254/2071-8330.2017/10-1/3
Cilt
10
