SMALL AREA ESTIMATION IN LONGITUDINAL SURVEYS

Abstract

Longitudinal surveys are very common in sampling over interval of times to estimate the aggregate level of population means at given point of time. In the present paper, the estimation methods have been developed for small area in longitudinal surveys using small area estimation (SAE) techniques. Direct, synthetic and composite estimators have been proposed to estimate the population mean of small area at given point of time. We also provide detailed of mean square errors (MSE) of the proposed estimator. An empirical study is carried out to show the properties of the proposed estimators.