Poverty Dynamics in Turkey: A Multinomial Logit Model
Senem Çakmak Şahin
Yildiz Technical University
İbrahim Engin Kılıç
Published 2021-10-13


poverty dynamics
chronic poverty
transitory poverty
multinomial logit

How to Cite

Çakmak Şahin S. and Kılıç İbrahim E. (2021) “Poverty Dynamics in Turkey: A Multinomial Logit Model”, Ekonomika, 100(2), pp. 133-143. doi: 10.15388/Ekon.2021.100.2.6.


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.



Bane, M. J. & Ellwood, D. T. (1986). Slipping into and out of poverty: The dynamics of spells. The Journal of Human Resources, 21(1), 1–23. https://doi.org/10.2307/145955
Cameron, A. C. & Trivedi, P. K. (2009). Microeconometrics Using Stata. StataCorp LP. https://
Chronic Poverty Advisory Network (2014). The Chronic poverty report 2014-2015: The Road to zero extreme poverty. London: CPAN
Dalgıç, B., Varol Iyidogan, P., & Güven, A. (2015). Yoksulluk ve yoksulluk geçislerinin belirleyenleri: Türkiye örnegi. Sosyoekonomi, 23(24), 51–70. https://doi.org/10.17233/se.64331
Garza-Rodriguez, J., Fernandez-Ramos, J., Garcia-Guerra, A. K., and Morales-Ramirez, G. (2015). The Dynamics of poverty in Mexico: A multinomial logistic regression analysis. MPRA Paper No. 77743. https://mpra.ub.unimuenchen.de/77743/. Accessed: October 5, 2020.
Gonçalves, S. L. & Machado, A. F. (2015). Poverty dynamics in Brazilian metropolitan areas: An analysis based on Hulme and Shepherd’s categorization (2002-2011). Economia, 16(2015), 376–394. http://dx.doi.org/10.1016/j.econ.2015.09.001
Hulme, D. & Shepherd, A. (2003). Conceptualizing chronic poverty. World Development, 31(3), 403–423. https://doi.org/10.1016/S0305-750X(02)00222-X
Osmani, S. R. (2007). When endowments and opportunities don’t match: Understanding chronic poverty. CPRC Working Paper No. 78. http://ssrn.com/abstract=1752958. Accessed: September 29, 2020.
Roberts, B. (2000). Chronic and Transitory Poverty in Post-Apartheid South Africa: Evidence from KwaZulu-Natal. CSDS Working Paper No. 28.
Rodgers, J. R. & Rodgers, J. L. (1993). Chronic poverty in the United States. The Journal of Human Resources, 28(1), 25–54. https://doi.org/10.2307/146087
Sigeze, Ç. & Sengül, S. (2018). Türkiye’de yoksullugun rassal etkiler multinomial logit modeli ile incelenmesi. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 20(4), 503–521. http://dx.doi.org/10.16953/deusosbil.413034
Turkish Statistical Institute Income and Living Conditions Micro Dataset 2014-2017.
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