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 management
Research Center for Statistics

Intervenants

Domingo MORALES GONZALEZ, UNIVERSITAS Miguel Hernández, Spain

entrée libre

Classement

Catégorie: Séminaire

Plus d'infos

www.unige.ch/gsem/en/research/seminars/rcs/

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