Improving small area estimation by combining surveys: new perspectives in regional statistics
| Contribuinte(s) |
Universitat Pompeu Fabra. Departament d'Economia i Empresa |
|---|---|
| Data(s) |
04/10/2006
|
| Resumo |
A national survey designed for estimating a specific population quantity is sometimes used for estimation of this quantity also for a small area, such as a province. Budget constraints do not allow a greater sample size for the small area, and so other means of improving estimation have to be devised. We investigate such methods and assess them by a Monte Carlo study. We explore how a complementary survey can be exploited in small area estimation. We use the context of the Spanish Labour Force Survey (EPA) and the Barometer in Spain for our study. |
| Identificador | |
| Idioma(s) |
eng |
| Direitos |
L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons info:eu-repo/semantics/openAccess <a href="http://creativecommons.org/licenses/by-nc-nd/3.0/es/">http://creativecommons.org/licenses/by-nc-nd/3.0/es/</a> |
| Palavras-Chave | #Statistics, Econometrics and Quantitative Methods #composite estimator #complementary survey #mean squared error #official statistics #regional statistics #small area |
| Tipo |
info:eu-repo/semantics/workingPaper |
