ListarModelización, Optimización e Inferencia Estadística (MODES) por tema "Small area estimation"
Mostrando ítems 1-10 de 10
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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 ... -
Bootstrap-based statistical inference for linear mixed effects under misspecifications
(Elsevier, 2024)[Abstract]: Linear mixed effects are considered excellent predictors of cluster-level parameters in various domains. However, previous research has demonstrated that their performance is affected by departures from model ... -
Poverty Mapping Under Area-Level Random Regression Coefficient Poisson Models
(Oxford University Press, 2023-11)[Abstract]: Under an area-level random regression coefficient Poisson model, this article derives small area predictors of counts and proportions and introduces bootstrap estimators of the mean squared errors (MSEs). The ... -
Selection model for domains across time: application to labour force survey by economic activities
(Springer Nature, 2021-03)[Abstract]: This paper introduces a small area estimation approach that borrows strength across domains (areas) and time and is efficiently used to obtain labour force estimators by economic activity. Specifically, the ... -
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 ... -
Small area estimation of average compositions under multivariate nested error regression models
(Springer Science and Business Media Deutschland GmbH, 2023)[Abstract]: This paper investigates the small area estimation of population averages of unit-level compositional data. The new methodology transforms the compositions into vectors of Rm and assumes that the vectors follow ... -
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 estimation of labour force indicators under a multinomial model with correlated time and area effects
(Wiley-Blackwell Publishing Ltd., 2014-09-30)[Abstract] The aim of the paper is the estimation of small area labour force indicators like totals of employed and unemployed people and unemployment rates. Small area estimators of these quantities are derived from four ... -
Small area estimation of proportions under area-level compositional mixed models
(Springer Nature, 2020-09)[Abstract]: This paper introduces area-level compositional mixed models by applying transformations to a multivariate Fay–Herriot model. Small area estimators of the proportions of the categories of a classification variable ... -
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 ...