This paper focus on the determinants of poverty dynamics in Tunisia by performing a two-stage endogenous model using a Bayesian algorithm to avoid missing data. Based on this approach author show that panel data analysis can be performed through potential variables such presented by the work of...

Using detailed household-expenditure level data from Tunisia, we examines urban-rural inequality in Tunisia. We use Bayesian regression-based decomposition method to dissect the gap between the two areas. Results of the present study suggest that the difference between rural poor households and...