Small Area Estimation in Longitudinal Surveys

Session 5 Small Area and Longitudinal Estimation Using Information from Multiple Surveys Small Area and Longitudinal Estimation Using Information from Multiple Surveys

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...

An Application of Linear Model in Small Area Estimationof Orange production in Fars province

Methods for small area estimation have been received great attention in recent years due to growing demand for reliable small area estimation that are needed in development planings, allocation of government funds and marking business decisions. The key question in small area estimation is how to obtain reliable estimations when sample size is small. When only a few observations(or even no o...

Area specific confidence intervals for a small area mean under the Fay-Herriot model

‎Small area estimates have received much attention from both private and public sectors due to the growing demand for effective planning of health services‎, ‎apportioning of government funds and policy and decision making‎. ‎Surveys are generally designed to give representative estimates at national or district level‎, ‎but estimates of variables of interest are oft...