Dolores Esteban, MaríaLombardía, María JoséLópez Vizcaíno, María EstherMorales, DomingoPérez, Agustín2022-12-302022-12-302022M. D. Esteban, M. J. Lombardía, E. López-Vizcaíno, D. Morales, and A. Pérez, “Empirical best prediction of small area bivariate parameters,” Scandinavian Journal of Statistics, vol. 49, no. 4, pp. 1699–1727, 2022, doi: 10.1111/sjos.12618.0303-68981467-9469http://hdl.handle.net/2183/32261[Abstract]: This paper 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.engAtribución-NoComercial 3.0 Españahttp://creativecommons.org/licenses/by-nc/3.0/es/Best linear unbiased predictorsHousehold budget surveysMultivariate linear mixed modelsNested error regression modelsRatio estimatorsSmall area estimationjournal articleopen access