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EnglishIn Official Statistics, interest in data integration has grown enormously, but the effect of integration procedures on statistical analysis has not yet been sufficiently developed. Data integration is not an error-free procedure and linkage errors, as false links and missed links can invalidate standard estimates. Recently, increasing attention has been paid to the effect of linkage errors on the statistical analyses and on statistical predictions. Recently, methods to adjust the unit level small area estimators for linkage errors have been proposed when the domains are correctly specified. In this paper we compare the na¨ıve and the adjusted unit level estimators with the area level estimators that are not affected by the linkage errors. The comparison encourages the use of the adjusted unit level estimator.
A comparison of area level and unit level small area models in the presence of linkage errors / Tuoto, Tiziana; Di Consiglio, Loredana. - In: STATISTICS IN TRANSITION. - ISSN 1234-7655. - 21:4(2020), pp. 103-122.
| Titolo: | A comparison of area level and unit level small area models in the presence of linkage errors | |
| Data di pubblicazione: | 2020 | |
| Autori: | ||
| Stringa autori: | Tuoto, Tiziana; Di Consiglio, Loredana | |
| Numero degli autori: | 2 | |
| Nazionalità autore: | ITALIA | |
| Lingua: | Inglese | |
| Rivista: | STATISTICS IN TRANSITION | |
| Revisione (peer review): | Esperti anonimi | |
| Volume: | 21 | |
| Fascicolo: | 4 | |
| Pagina iniziale: | 103 | |
| Pagina finale: | 122 | |
| Numero di pagine: | 20 | |
| Editore: | Polish Statistical Association | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.21307/stattrans-2020-033 | |
| Codice identificativo Scopus: | 2-s2.0-85092199385 | |
| Abstract: | In Official Statistics, interest in data integration has grown enormously, but the effect of integration procedures on statistical analysis has not yet been sufficiently developed. Data integration is not an error-free procedure and linkage errors, as false links and missed links can invalidate standard estimates. Recently, increasing attention has been paid to the effect of linkage errors on the statistical analyses and on statistical predictions. Recently, methods to adjust the unit level small area estimators for linkage errors have been proposed when the domains are correctly specified. In this paper we compare the na¨ıve and the adjusted unit level estimators with the area level estimators that are not affected by the linkage errors. The comparison encourages the use of the adjusted unit level estimator. | |
| Parole Chiave: | linear mixed models, data integration, linkage errors | |
| Appartiene alla tipologia: | 01a Articolo in rivista |
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| File | Note | Tipologia | Licenza | |
|---|---|---|---|---|
| Tuoto_ comparison-area_2020.pdf | Versione editoriale (versione pubblicata con il layout dell'editore) |  | Open Access Visualizza/Apri |
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