Empirical best prediction of small area bivariate parameters

This paper introduces empirical best predictors of small area bivariate parameters, like ratios sums or ratios, by assuming that the target unit-level vector follows a nested error regression model. The corresponding means squared errors are estimated parametric bootstrap. Several simulation experiments empirically study behavior introduced statistical methodology. An application to real data from Spanish household budget survey gives estimators food expenditures provinces.