Abstract

Based on the new Multiple deprivation index for Latin American countries produced by the Economic Commission for Latin America and the Caribbean, this talk shows the case study of Colombia to obtain small area estimates. This country counts with a recent population census providing most of the information required to compute the multiple deprivation index in small domains. However, for two indicators the information at the unit level is not available, for which different small area estimation methods are implemented. A parametric bootstrap algorithm is used to provide uncertainty measures.