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  • Articles and reports: 12-001-X200700210496
    Description:

    The European Community Household Panel (ECHP) is a panel survey covering a wide range of topics regarding economic, social and living conditions. In particular, it makes it possible to calculate disposable equivalized household income, which is a key variable in the study of economic inequity and poverty. To obtain reliable estimates of the average of this variable for regions within countries it is necessary to have recourse to small area estimation methods. In this paper, we focus on empirical best linear predictors of the average equivalized income based on "unit level models" borrowing strength across both areas and times. Using a simulation study based on ECHP data, we compare the suggested estimators with cross-sectional model-based and design-based estimators. In the case of these empirical predictors, we also compare three different MSE estimators. Results show that those estimators connected to models that take units' autocorrelation into account lead to a significant gain in efficiency, even when there are no covariates available whose population mean is known.

    Release date: 2008-01-03

  • Articles and reports: 12-001-X20030026781
    Description:

    Census counts are known to be inexact based on comparisons of Census and Post Enumeration Survey (PES) figures. In Italy, the role of municipal administrations is crucial for both Census and PES field operations. In this paper we analyze the impact of municipality on Italian Census undercount rates by modeling data from the PES as well as from other sources using Poisson regression trees and hierarchical Poisson models. The Poisson regression trees cluster municipalities into homogeneous groups. The hierarchical Poisson models can be considered as tools for Small Area estimation.

    Release date: 2004-01-27
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  • Articles and reports: 12-001-X200700210496
    Description:

    The European Community Household Panel (ECHP) is a panel survey covering a wide range of topics regarding economic, social and living conditions. In particular, it makes it possible to calculate disposable equivalized household income, which is a key variable in the study of economic inequity and poverty. To obtain reliable estimates of the average of this variable for regions within countries it is necessary to have recourse to small area estimation methods. In this paper, we focus on empirical best linear predictors of the average equivalized income based on "unit level models" borrowing strength across both areas and times. Using a simulation study based on ECHP data, we compare the suggested estimators with cross-sectional model-based and design-based estimators. In the case of these empirical predictors, we also compare three different MSE estimators. Results show that those estimators connected to models that take units' autocorrelation into account lead to a significant gain in efficiency, even when there are no covariates available whose population mean is known.

    Release date: 2008-01-03

  • Articles and reports: 12-001-X20030026781
    Description:

    Census counts are known to be inexact based on comparisons of Census and Post Enumeration Survey (PES) figures. In Italy, the role of municipal administrations is crucial for both Census and PES field operations. In this paper we analyze the impact of municipality on Italian Census undercount rates by modeling data from the PES as well as from other sources using Poisson regression trees and hierarchical Poisson models. The Poisson regression trees cluster municipalities into homogeneous groups. The hierarchical Poisson models can be considered as tools for Small Area estimation.

    Release date: 2004-01-27
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