• A New Approach to the Gender Pay Gap Decomposition by Economic Activity 

      Lombardía, María José; López Vizcaíno, María Esther; Rueda, Cristina (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 ...
    • Burned area prediction with semiparametric models 

      Lombardía, María José; Boubeta, Miguel; González Manteiga, Wenceslao; Marey Pérez, Manuel Francisco (CSIRO Publishing, 2016-04-27)
      [Abstract] Wildfires are one of the main causes of forest destruction, especially in Galicia (north-west Spain), where the area burned by forest fires in spring and summer is quite high. This work uses two semiparametric ...
    • Empirical best prediction of small area bivariate parameters 

      Dolores Esteban, María; Lombardía, María José; López Vizcaíno, María Esther; Morales, Domingo; Pérez, Agustín (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 ...
    • Empirical best prediction under area-level Poisson mixed models 

      Boubeta, Miguel; Lombardía, María José; Morales, Domingo (Springer, 2015-12-19)
      [Abstract] The paper studies the applicability of area-level Poisson mixed models to estimate small area counting indicators. Among the available procedures for fitting generalized linear models, the method of moments (MM) ...
    • Mapping the Poverty Proportion in Small Areas under Random Regression Coefficient Poisson Models 

      Diz-Rosales, Naomi; Lombardía, María José; Morales, Domingo (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] In a complex socio-economic context, policy makers need highly disaggregated poverty indicators. In this work, we develop a methodology in small area estimation to derive predictors of poverty proportions under ...
    • Poisson mixed models for predicting number of fires 

      Boubeta, Miguel; Lombardía, María José; Marey Pérez, Manuel Francisco; Morales, Domingo (CSIRO, 2019-03)
      [Abstract]: Wildfires are considered one of the main causes of forest destruction. In recent years, the number of forest fires and burned area in Mediterranean regions have increased. This problem particularly affects ...
    • Poverty Mapping Under Area-Level Random Regression Coefficient Poisson Models 

      Diz-Rosales, Naomi; Lombardía, María José; Morales, Domingo (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 ...
    • Prediction of forest fires occurrences with area-level Poisson mixed models 

      Boubeta, Miguel; Lombardía, María José; Marey Pérez, Manuel Francisco; Morales, Domingo (Academic Press, 2015-05-01)
      [Abstract] The number of fires in forest areas of Galicia (north-west of Spain) during the summer period is quite high. Local authorities are interested in analyzing the factors that explain this phenomenon. Poisson ...
    • Selection model for domains across time: application to labour force survey by economic activities 

      Lombardía, María José; López Vizcaíno, María Esther; Rueda, Cristina (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 

      Reluga, Katarzyna; Lombardía, María José; Sperlich, Stefan (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 ...
    • Simultaneous inference for linear mixed model parameters with an application to small area estimation 

      Reluga, Katarzyna; Lombardía, María José; Sperlich, Stefan (John Wiley & Sons, 2022)
      [Abstract]: Over the past decades, linear mixed models have attracted considerable attention in various fields of applied statistics. They are popular whenever clustered, hierarchical or longitudinal data are investigated. ...
    • Small area estimation of average compositions under multivariate nested error regression models 

      Esteban, M. Dolores; Lombardía, María José; López Vizcaíno, María Esther; Morales, Domingo; Pérez, Agustín (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 

      Dolores Esteban, María; Lombardía, María José; López Vizcaíno, María Esther; Morales, Domingo; Pérez, Agustín (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 

      López Vizcaíno, María Esther; Lombardía, María José; Morales, Domingo (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 

      Dolores Esteban, María; Lombardía, María José; López Vizcaíno, María Esther; Morales, Domingo; Pérez, Agustín (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 

      Boubeta, Miguel; Lombardía, María José; Morales, Domingo (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 ...