After the relationship is estimated, it is then possible to predict the individual expenditures and the individual poverty status of all individuals in our household survey in order to simulate the actual implementation of the policy. By comparing the predicted and actual (according to the household survey expenditure data) poverty status of the survey households, we are able to evaluate likely targeting errors: namely under-coverage (poor individuals excluded from the social safety programme because predicted as non-poor) and leakage (non-poor individuals benefiting from transfers because erroneously identified as poor). The administrative costs faced by the governments to put in place the policies proposed here are not taken into account and we thus only include the total amount of cash transfers allocated or the cost of the subsidies provided. We made the hypothesis that all the transfers received by children living in the same household are pooled and shared equitably among all the household members. As we cannot know what allocation rule is in force within each household, we adopted a relatively neutral approach. Therefore, the model requires a benchmark data set presented in the form of a SAM.