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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Milan
2023
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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 |
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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 |