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Completeness of birth registration in Brazil: an overview of methods and data sources

We provide an analysis of the main sources of data used to estimate fertility schedules in developing countries, giving special attention to Brazil. In addition to the brief history of various data sources, we present several indirect demographic methods, commonly used to estimate fertility and asse...

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Detalles Bibliográficos
Autores principales: Lima, Everton E. C., Queiroz, Bernardo Lanza, Zeman, Krystof
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6097787/
https://www.ncbi.nlm.nih.gov/pubmed/30147127
http://dx.doi.org/10.1186/s41118-018-0035-9
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author Lima, Everton E. C.
Queiroz, Bernardo Lanza
Zeman, Krystof
author_facet Lima, Everton E. C.
Queiroz, Bernardo Lanza
Zeman, Krystof
author_sort Lima, Everton E. C.
collection PubMed
description We provide an analysis of the main sources of data used to estimate fertility schedules in developing countries, giving special attention to Brazil. In addition to the brief history of various data sources, we present several indirect demographic methods, commonly used to estimate fertility and assess the quality of data. From the methods used, the Synthetic Relational Gompertz model gives the most robust estimates of fertility, independent of the data source considered. We conclude that different demographic data sources and methods generate differing estimates of fertility and that the country should invest in quality of birth statistics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41118-018-0035-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-60977872018-08-24 Completeness of birth registration in Brazil: an overview of methods and data sources Lima, Everton E. C. Queiroz, Bernardo Lanza Zeman, Krystof Genus Original Article We provide an analysis of the main sources of data used to estimate fertility schedules in developing countries, giving special attention to Brazil. In addition to the brief history of various data sources, we present several indirect demographic methods, commonly used to estimate fertility and assess the quality of data. From the methods used, the Synthetic Relational Gompertz model gives the most robust estimates of fertility, independent of the data source considered. We conclude that different demographic data sources and methods generate differing estimates of fertility and that the country should invest in quality of birth statistics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41118-018-0035-9) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-08-09 2018 /pmc/articles/PMC6097787/ /pubmed/30147127 http://dx.doi.org/10.1186/s41118-018-0035-9 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Lima, Everton E. C.
Queiroz, Bernardo Lanza
Zeman, Krystof
Completeness of birth registration in Brazil: an overview of methods and data sources
title Completeness of birth registration in Brazil: an overview of methods and data sources
title_full Completeness of birth registration in Brazil: an overview of methods and data sources
title_fullStr Completeness of birth registration in Brazil: an overview of methods and data sources
title_full_unstemmed Completeness of birth registration in Brazil: an overview of methods and data sources
title_short Completeness of birth registration in Brazil: an overview of methods and data sources
title_sort completeness of birth registration in brazil: an overview of methods and data sources
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6097787/
https://www.ncbi.nlm.nih.gov/pubmed/30147127
http://dx.doi.org/10.1186/s41118-018-0035-9
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