Labor figures for Mexico’s municipalities were estimated during 2018’s first quarter by using Small Area Estimation (SAE) techniques with the incorporation of a spatial component – given there is no recent information source such level geographic disaggregation. To achieve this, combined from different sources was used to build statistical models in which Economically Active Population, Employe...

Abstract Synthetic estimators are known to produce estimates of population mean in areas where no sampled data available, but such usually highly biased with invalid confidence statements. This paper presents a calibrated synthetic estimator the which addresses these problematic issues. Two special cases this were obtained form combined ratio and regression estimators, using selected tuning par...

Small area estimation is an important tool to produce estimates of poverty for regions with low or zero sample sizes. Estimates are typically obtained by combining a consumption survey reporting on and census providing the spatial disaggregation. This paper discusses updating method that produces up-to-date small when only dated more recent available predictors subject drift over time, situatio...