Small area estimation of poverty indicators under partitioned area-level time models

  1. Domingo Morales 2
  2. Maria Chiara Pagliarella 1
  3. Renato Salvatore 1
  1. 1 Università degli Studi di Siena. Dipartimento di Economia Politica e Statistica
  2. 2 Universidad Miguel Hernández. Centro de Investigación Operativa
Revista:
Sort: Statistics and Operations Research Transactions

ISSN: 1696-2281

Ano de publicación: 2015

Volume: 39

Número: 1

Páxinas: 19-34

Tipo: Artigo

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Outras publicacións en: Sort: Statistics and Operations Research Transactions

Resumo

This paper deals with small area estimation of poverty indicators. Small area estimators of these quantities are derived from partitioned time-dependent area-level linear mixed models. The introduced models are useful for modelling the different behaviour of the target variable by sex or any other dichotomic characteristic. The mean squared errors are estimated by explicit formulas. An application to data from the Spanish Living Conditions Survey is given.

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