What does Bayesian probit regression tell us about Turkish female- and male-headed households poverty?

Name: What does Bayesian probit regression tell us about Turkish female- and male-headed households poverty?
Author: Çağlayan-Akay, E., Sedefoğlu, Gülşah

İsim	What does Bayesian probit regression tell us about Turkish female- and male-headed households poverty?
Yazar	Çağlayan-Akay, E., Sedefoğlu, Gülşah
Basım Tarihi:	2017-04
Basım Yeri	- Centre of Sociological Research (CSR)
Konu	Poverty, Household poverty, Probit, Bayesian probit regression
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2306-3483
Kayıt Numarası	85d05bf4-f07c-4363-9134-9033bef1df11
Lokasyon	Professional Flight Program
Tarih	2017-04
Notlar	Marmara University Scientific Research Project Committee
Örnek Metin	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

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What does Bayesian probit regression tell us about Turkish female- and male-headed households poverty?

Yazar Çağlayan-Akay, E., Sedefoğlu, Gülşah

Basım Tarihi 2017-04

Basım Yeri - Centre of Sociological Research (CSR)

Konu Poverty, Household poverty, Probit, Bayesian probit regression

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2306-3483

Kayıt Numarası 85d05bf4-f07c-4363-9134-9033bef1df11

Lokasyon Professional Flight Program

Tarih 2017-04

Notlar Marmara University Scientific Research Project Committee

Örnek Metin 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