Poverty Dynamics in Turkey: A Multinomial Logit Model

The availability of longitudinal data allows researchers to analyse the dynamics of poverty. By using the Turkish Statistical Institute’s (TurkStat) Income and Living Conditions Survey micro dataset, we analyse the households’ long-term monetary poverty conditions. We categorise poverty as transitor...

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Bibliographic Details
Published in:Ekonomika - Vilniaus universitetas 2021, Vol.100 (2), p.133-143
Main Authors: Çakmak Şahin, Senem, Kılıç, İbrahim Engin
Format: Article
Language:English
Subjects:
chronic poverty
Datasets
Education
Home ownership
Household size
Households
Insurance
Living conditions
Longitudinal studies
multinomial logit
Ownership
Poverty
poverty dynamics
transitory poverty
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Summary:The availability of longitudinal data allows researchers to analyse the dynamics of poverty. By using the Turkish Statistical Institute’s (TurkStat) Income and Living Conditions Survey micro dataset, we analyse the households’ long-term monetary poverty conditions. We categorise poverty as transitory and chronic and employ the multinomial logit method to analyse determinants of each types of poverty. Results indicate that education and household size are the most effective factors for reducing transitory poverty, and for chronic poverty, the most effective factors are having a regular job and having a skilled occupation; insurance, home ownership, and number of children are important determinants for both types of poverty.
ISSN:1392-1258
2424-6166
DOI:10.15388/Ekon.2021.100.2.6