Official surveys are designed to obtain reliable estimates in planned domains. For example, The Spanish Labour Force Survey (Encuesta de Población Activa - EPA) has sufficiently large sample sizes in the provinces (planned domains). Then, the direct estimators have acceptably small mean squared errors in the provinces. However, the EPA sample sizes are too small within comarcas (unplanned domains or small areas) and therefore the direct estimates are not reliable in these domains. Small Area Estimation is a branch of Statistics that gives procedures to improve the direct estimates in unplanned domains.

Partitioned area-level time models for estimating poverty indicators

SALVATORE, Renato
2014-01-01

Abstract

Official surveys are designed to obtain reliable estimates in planned domains. For example, The Spanish Labour Force Survey (Encuesta de Población Activa - EPA) has sufficiently large sample sizes in the provinces (planned domains). Then, the direct estimators have acceptably small mean squared errors in the provinces. However, the EPA sample sizes are too small within comarcas (unplanned domains or small areas) and therefore the direct estimates are not reliable in these domains. Small Area Estimation is a branch of Statistics that gives procedures to improve the direct estimates in unplanned domains.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11580/54723
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