Small area estimation of expenditure means and ratios under a unit-level bivariate linear mixed model

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Dolores Esteban, María
Morales, Domingo
Pérez, Agustín

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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.

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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.

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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

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Atribución-NoComercial 3.0 España
Atribución-NoComercial 3.0 España

Except where otherwise noted, this item's license is described as Atribución-NoComercial 3.0 España