Small domain estimation techniques and an application for estimating the unemployment rate in bolu province

ABSTRACT Master of Science Thesis VOLKAN SEVİNÇ Anadolu University Graduate School of Natural and Applied Sciences Statistics Program Supervisor : Prof. Dr. Mahir ULUSOY 1998, Page 69 Demand for estimates of small area characteristics, is increasingly needed. Usual estimation techniques are not very efficient on small areas, so special estimation techniques have been developed for such areas. In this study, these techniques are presented with their data requirements, characteristics, and methodologies. In addition, the performances of the techniques are explained and compared with each other.In the application section Bolu province has been choosen as a small domain, and the unemployment rate in this area has been estimated with three different techniques. The unemployment rate results given by these techniques, are examined and compared with each other. Keywords: Small Domains, Small Area Estimates, Local Area Estimates, Synthetic Estimates, Postcensal Estimates