Abstract
Measures of economic well-being are often needed for geographically small areas, as
economic indicators may be distributed unevenly among the subsets of relatively small regions.
We consider small area estimation of average equivalized income. Disposable household income
data are usually available only for a sample of households, typically too small to provide reliable
estimates for small regions. We consider a small area estimation technique that is robust to
outliers, produces results consistent with design weighted estimates obtained for larger areas and
yield maps with approximately no shrinkage. The proposed methodology is applied to the Local
Labour Systems in Tuscany (Italy).
Lingua originale | English |
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pagine (da-a) | 685-702 |
Numero di pagine | 18 |
Rivista | Papers in Regional Science |
Volume | 93 |
DOI | |
Stato di pubblicazione | Pubblicato - 2013 |
Keywords
- EU-SILC
- M-quantile regression
- benchmarking
- mean square error estimation
- neutral shrinkage