Small Area Estimation in Estimating Unemployment Rate in Bogor District of Sampled and Non-Sampled Areas UsingA Calibration Modeling Approach

Abstract

The main problem in Indonesia is unemployment. There are some various government policies to resolve unemployment, such as the availability of statistical data in unemployment. The National Labor Survey conducted by the Statistics Indonesia (BPS) only generates estimates at the national levels, whereas to carry out various government policies requires the availability of unemployment information to smaller levels. The Small Area Estimation (SAE) method is one of the solutions to estimate small area without adds sampling units. The method is borrowing strength from nearby observation sample areas. The study focused on estimating unemployment rate in Bogor sub-district level using Generalized Linear Mixed Models (GLMM) method with calibration approach. The results of the proposed method can produce the same result as published by BPS and are able to generate the result to sub-district level.