Poverty dynamics in Turkey : a multinomial logit model
İbrahim Engin Kılıç, Senem Çakmak Şahin
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.
Year of publication: |
2021
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Authors: | Kılıç, İbrahim Engin ; Şahin, Senem Çakmak |
Published in: |
Mokslo darbai / Vilniaus Universitetas. - Vilnius : [Verlag nicht ermittelbar], ISSN 1392-1258, ZDB-ID 2810340-3. - Vol. 100.2021, 2, p. 133-143
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Subject: | poverty dynamics | chronic poverty | transitory poverty | multinomial logit | Armut | Poverty | Logit-Modell | Logit model | Türkei | Turkey | Messung | Measurement | Schätzung | Estimation | Armutsbekämpfung | Poverty reduction | Deutschland | Germany |
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