D. Morales, M. D. Esteban, M. J. Lombardía, E. López-Vizcaíno, A. Pérez
This communication introduces empirical best predictors of small area bivariate parameters, like ratios of sums or sums of ratios, by assuming that the target unit-level vector follows a bivariate nested error regression model. The corresponding means squared errors are estimated by parametric bootstrap. Several simulation experiments empirically study the behavior of the introduced statistical methodology. An application to real data from the Spanish household budget survey gives estimators of ratios of food household expenditures by provinces.
Keywords: multivariate linear mixed models, nested error regression models, best linear unbiased predictors, ratio estimators, small area estimation, household budget surveys.
Scheduled
Statistical Models I
June 10, 2022 10:10 AM
A11
