In this paper based on a basic area level model we obtain second-order accurate approximations to the mean squared error of model-based small area estimators, using ...

A mean squared error criterion is used to compare five estimators of the coefficients in a linear regression model: least squares, principal components, ridge regression, latent root, and a shrunken ...