Small area estimation of poverty proportions under area-level time models

Publication year: 2011 Source: Computational Statistics & Data Analysis, Available online 20 October 2011 M.D. Esteban, D. Morales, A. Pérez, L. Santamaría The unit-level small area estimation approach has no standard procedure and each case needs separate modeling when the domain parameters are not linear or the target variable is not normally distributed. Area-level linear mixed models can be generally applied to produce EBLUP estimates of linear and non linear parameters because direct estimates are weighted sums, so that the assumption of normality may be acceptable. The problem of estimating small area non linear parameters is treated, with special emphasis on the estimation of poverty proportions.

Publication year: 2011 Source: Computational Statistics & Data Analysis, Available online 20 October 2011 M.D. Esteban, D. Morales, A. Pérez, L. Santamaría The unit-level small area estimation approach has no standard procedure and each case needs separate modeling when the domain parameters are not linear or the target variable is not normally distributed. Area-level linear mixed models can be generally applied to produce EBLUP estimates of linear and non linear parameters because direct estimates are weighted sums, so that the assumption of normality may be acceptable. The problem of estimating small area non linear parameters is treated, with special emphasis on the estimation of poverty proportions.

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Small area estimation of poverty proportions under area-level time models

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