@article{(Open Science Index):https://publications.waset.org/pdf/10006297,
	  title     = {Internal Migration and Poverty Dynamic Analysis Using a Bayesian Approach: The Tunisian Case},
	  author    = {Amal Jmaii and  Damien Rousseliere and  Besma Belhadj},
	  country	= {},
	  institution	= {},
	  abstract     = {We explore the relationship between internal migration
and poverty in Tunisia. We present a methodology combining
potential outcomes approach with multiple imputation to highlight the
effect of internal migration on poverty states. We find that probability
of being poor decreases when leaving the poorest regions (the west
areas) to the richer regions (greater Tunis and the east regions).},
	    journal   = {International Journal of Economics and Management Engineering},
	  volume    = {10},
	  number    = {8},
	  year      = {2016},
	  pages     = {417 - 422},
	  ee        = {https://publications.waset.org/pdf/10006297},
	  url   	= {https://publications.waset.org/vol/116},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 116, 2016},
	}