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

Authors :
Morales, D.
Maria Chiara Pagliarella
Salvatore, R.
Source :
Dipòsit Digital de Documents de la UAB, Universitat Autònoma de Barcelona, Scopus-Elsevier, SORT-Statistics and Operations Research Transactions; 2015: Vol.: 39 Núm.: 1 January-June; p. 19-34, oai:raco.cat:article/294361, Repositori Institucional de la Universitat Rovira i Virgili, Universitat Rovira i virgili (URV), UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC)
Publication Year :
2015

Abstract

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.

Details

ISSN :
16962281
Database :
OpenAIRE
Journal :
Dipòsit Digital de Documents de la UAB, Universitat Autònoma de Barcelona, Scopus-Elsevier, SORT-Statistics and Operations Research Transactions; 2015: Vol.: 39 Núm.: 1 January-June; p. 19-34, oai:raco.cat:article/294361, Repositori Institucional de la Universitat Rovira i Virgili, Universitat Rovira i virgili (URV), UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC)
Accession number :
edsair.dedup.wf.001..9e2dc66e2dccebaf5c1846a0c9cb73b7