Small area estimation of expenditure means and ratios under a unit-level bivariate linear mixed model
Use this link to cite
http://hdl.handle.net/2183/34442Collections
- GI-MODES - Artigos [122]
Metadata
Show full item recordTitle
Small area estimation of expenditure means and ratios under a unit-level bivariate linear mixed modelAuthor(s)
Date
2022Citation
M. D. Esteban, M. J. Lombardía, E. López-Vizcaíno, D. Morales, y A. Pérez, «Small area estimation of expenditure means and ratios under a unit-level bivariate linear mixed model», Journal of Applied Statistics, vol. 49, n.º 1, pp. 143-168, ene. 2022, doi: 10.1080/02664763.2020.1803809.
Abstract
[Abstract]: Under a unit-level bivariate linear mixed model, this paper introduces small area predictors of expenditure means and ratios, and derives approximations and estimators of the corresponding mean squared errors. For the considered model, the REML estimation method is implemented. Several simulation experiments, designed to analyze the behavior of the introduced fitting algorithm, predictors and mean squared error estimators, are carried out. An application to real data from the Spanish household budget survey illustrates the behavior of the proposed statistical methodology. The target is the estimation of means of food and non-food household annual expenditures and of ratios of food household expenditures by Spanish provinces.
Keywords
Multivariate linear mixed models
Nested error regression models
Best linear unbiased predictors
Ratio estimators
Small area estimation
Household budget surveys
Nested error regression models
Best linear unbiased predictors
Ratio estimators
Small area estimation
Household budget surveys
Description
This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Applied Statistics on 05 Aug 2020, available at: https://doi.org/10.1080/02664763.2020.1803809
Editor version
Rights
Atribución-NoComercial 3.0 España
ISSN
1360-0532