@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}, }