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Empirical best prediction of small area bivariate parameters
(Wiley-Blackwell Publishing Ltd, 2022)
[Abstract]: This paper 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 ...
Small area estimation of expenditure means and ratios under a unit-level bivariate linear mixed model
(Taylor and Francis Group, 2022)
[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. ...
Small area prediction of proportions and counts under a spatial Poisson mixed model
(Springer Nature, 2023-10-31)
[Abstract]: This paper introduces an area-level Poisson mixed model with SAR(1) spatially correlated random effects. Small area predictors of proportions and counts are derived from the new model and the corresponding mean ...
Simultaneous Inference for Empirical Best Predictors With a Poverty Study in Small Areas
(Taylor and Francis Group, 2023-01)
[Abstract]: Today, generalized linear mixed models (GLMM) are broadly used in many fields. However, the development of tools for performing simultaneous inference has been largely neglected in this domain. A framework for ...
A New Approach to the Gender Pay Gap Decomposition by Economic Activity
(Oxford University Press, 2022-01)
[Abstract]: The aim of this paper is to present an original approach to estimate the gender pay gap (GPG). We propose a model-based decomposition, similar to the most popular approaches, where the first component measures ...