New methods for small area estimation with linkage uncertainty

Comparison of Small Area Estimation Methods for Estimating Unemployment Rate

Extended Abstract. In recent years, needs for small area estimations have been greatly increased for large surveys particularly household surveys in Sta­ tistical Centre of Iran (SCI), because of the costs and respondent burden. The lack of suitable auxiliary variables between two decennial housing and popula­ tion census is a challenge for SCI in using these methods. In general, the...

Some New Developments in Small Area Estimation

Small area estimation has received a lot of attention in recent years due to growing demand for reliable small area statistics. Traditional area-specific estimators may not provide adequate precision because sample sizes in small areas are seldom large enough. This makes it necessary to employ indirect estimators based on linking models. Basic area level and unit level models have been extensiv...

Nonparametric regression methods for small area estimation

Spatial Clustering Methods and Small Area Estimation

Local statistical offices often dispose of very rich databases of spatially referenced socio– economic data. The high degree of spatial detail of such information is often not too useful for practical purposes in that firms or local authorities are interested in information aggregated at higher levels. The standard practice usually consists in aggregating the data at some prespecified geographi...

Bayesian methods for Small Area Estimation using spatio-temporal models

Introduction National statistical bureaus often provide estimates of different small area indicators (e.g., unemployment, average income) at different geographical levels which have been computed using different methods. Spatio-temporal models, for example, take into account different geographic and temporal structures of the data in order to improve estimation. The purpose is to borrow strengt...