Economic indicators need to be estimated at regional level. Small area estimation based on M-quantile regression has recently been introduced by Chambers and Tzavidis (Biometrika 93:255–268, 2006) and it has proved to provide a valid alternative to traditional methods. Thus far, this method has only been applied to cross-sectional data. However, it is well known that the use of panel data may provide significant gains in terms of efficiency of the estimators. This paper explores possible extensions of M-quantile-based small area estimators to the panel data context. A model-based simulation study is presented.

M-quantile small area estimation for panel data

BIANCHI, Annamaria
2016-01-01

Abstract

Economic indicators need to be estimated at regional level. Small area estimation based on M-quantile regression has recently been introduced by Chambers and Tzavidis (Biometrika 93:255–268, 2006) and it has proved to provide a valid alternative to traditional methods. Thus far, this method has only been applied to cross-sectional data. However, it is well known that the use of panel data may provide significant gains in terms of efficiency of the estimators. This paper explores possible extensions of M-quantile-based small area estimators to the panel data context. A model-based simulation study is presented.
book chapter - capitolo di libro
scientifica
Inglese
2016
Topics in Theoretical and Applied Statistics
Alleva, Giorgio; Giommi, Andrea
cartaceo
online
978-3-319-27274-0
123
131
Switzerland
Cham
Springer
esperti anonimi
Settore SECS-S/03 - Statistica Economica
Selected and fully peer-reviewed paper, originally presented at the 46th International Meeting of the Italian Statistical Society (SIS), Sapienza University of Rome, Faculty of Economics, 20-22 June, 2012
info:eu-repo/semantics/bookPart
reserved
1.2 Contributi in volume - Book chapters::1.2.01 Contributi in volume (Capitoli o Saggi) - Book Chapters/Essays
Non definito
Bianchi, Annamaria
1
268
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/76725
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