Empirical Best Prediction of Small Area Bivariate Parameters
26.11.2021 11:15 – 12:15
RESEARCH CENTER FOR STATISTICS SEMINAR / ABSTRACT
The talk 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.
Lieu
Online
Organisé par
Faculté d'économie et de managementResearch Center for Statistics
Intervenant-e-s
Domingo MORALES GONZALEZ, UNIVERSITAS Miguel Hernández, Spainentrée libre
Classement
Catégorie: Séminaire