Cargando…

Statistical framework for fully register based population counts

The increasing availability of registers or administrative archives has been a strong push towards moving from traditional censuses to combined censuses or even completely register based censuses. In this context, a statistical framework needs to be designed in order to delineate all the statistical...

Descripción completa

Detalles Bibliográficos
Autores principales: Solari, Fabrizio, Bernardini, Antonella, Cibella, Nicoletta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116125/
https://www.ncbi.nlm.nih.gov/pubmed/37284421
http://dx.doi.org/10.1007/s40300-023-00244-5
_version_ 1785028356549378048
author Solari, Fabrizio
Bernardini, Antonella
Cibella, Nicoletta
author_facet Solari, Fabrizio
Bernardini, Antonella
Cibella, Nicoletta
author_sort Solari, Fabrizio
collection PubMed
description The increasing availability of registers or administrative archives has been a strong push towards moving from traditional censuses to combined censuses or even completely register based censuses. In this context, a statistical framework needs to be designed in order to delineate all the statistical issues of the new estimation process. To this aim, a population frame needs to be defined for both surveying and estimation phases. Sampling surveys should be designed for quality assessment and for improving the quality of the register based estimation process. Drawing on similar experiences, a formalisation of the population size estimation process fully based on administrative data is presented. An application to Italian estimation process is reported.
format Online
Article
Text
id pubmed-10116125
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Springer Milan
record_format MEDLINE/PubMed
spelling pubmed-101161252023-04-25 Statistical framework for fully register based population counts Solari, Fabrizio Bernardini, Antonella Cibella, Nicoletta Metron Article The increasing availability of registers or administrative archives has been a strong push towards moving from traditional censuses to combined censuses or even completely register based censuses. In this context, a statistical framework needs to be designed in order to delineate all the statistical issues of the new estimation process. To this aim, a population frame needs to be defined for both surveying and estimation phases. Sampling surveys should be designed for quality assessment and for improving the quality of the register based estimation process. Drawing on similar experiences, a formalisation of the population size estimation process fully based on administrative data is presented. An application to Italian estimation process is reported. Springer Milan 2023-04-20 2023 /pmc/articles/PMC10116125/ /pubmed/37284421 http://dx.doi.org/10.1007/s40300-023-00244-5 Text en © Sapienza Università di Roma 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Solari, Fabrizio
Bernardini, Antonella
Cibella, Nicoletta
Statistical framework for fully register based population counts
title Statistical framework for fully register based population counts
title_full Statistical framework for fully register based population counts
title_fullStr Statistical framework for fully register based population counts
title_full_unstemmed Statistical framework for fully register based population counts
title_short Statistical framework for fully register based population counts
title_sort statistical framework for fully register based population counts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116125/
https://www.ncbi.nlm.nih.gov/pubmed/37284421
http://dx.doi.org/10.1007/s40300-023-00244-5
work_keys_str_mv AT solarifabrizio statisticalframeworkforfullyregisterbasedpopulationcounts
AT bernardiniantonella statisticalframeworkforfullyregisterbasedpopulationcounts
AT cibellanicoletta statisticalframeworkforfullyregisterbasedpopulationcounts