Socioeconomic classification of the working-age Brazilian population: a joint latent class analysis using social class and asset-based perspectives

Detalhes bibliográficos
Autor(a) principal: Caetano, A. J.
Data de Publicação: 2018
Outros Autores: Dias, J. G.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/16548
Resumo: This paper presents and applies a methodology of socioeconomic classification that integrates asset- and social class approaches. We employ data from the 2013 Brazilian National Household Survey and use latent class analysis to identify clusters and classify the working population. With regard to social class the Brazilian occupations are classified based on the European Socioeconomic Classification (ESeC) schema and an indicator of employment status. As for household wealth, we use the items related to household condition, ownership of durable goods and access to public services with the highest discriminatory power. We also make use of variables that account for the Brazilian spatial and socio-demographic heterogeneity. We found four clusters which we term latent socioeconomic stratum (LSeS). When compared we found an ordered pattern from the best-off LSeS (1) to the worst-off (4) with respect to household wealth and ESeC classes. Nevertheless, although the class composition of each LSeS reveals a distinct concentration of specific ESeC classes, all classes are present in each LSeS. Controlling for social class, differences in household wealth are more marked between LSeS than between social classes within the same LSeS. Hence, the methodology unveils the latent socioeconomic strata, reveals a class schema for each stratum and points out potential stratum fractions within them. The results were validated using variables external to the model, namely household food security status and years of schooling. The external validation revealed the same ordered pattern and the presence of stratum fractions.
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spelling Socioeconomic classification of the working-age Brazilian population: a joint latent class analysis using social class and asset-based perspectivesAsset-based approachBrazilLatent class analysisSocial classSocioeconomic classificationThis paper presents and applies a methodology of socioeconomic classification that integrates asset- and social class approaches. We employ data from the 2013 Brazilian National Household Survey and use latent class analysis to identify clusters and classify the working population. With regard to social class the Brazilian occupations are classified based on the European Socioeconomic Classification (ESeC) schema and an indicator of employment status. As for household wealth, we use the items related to household condition, ownership of durable goods and access to public services with the highest discriminatory power. We also make use of variables that account for the Brazilian spatial and socio-demographic heterogeneity. We found four clusters which we term latent socioeconomic stratum (LSeS). When compared we found an ordered pattern from the best-off LSeS (1) to the worst-off (4) with respect to household wealth and ESeC classes. Nevertheless, although the class composition of each LSeS reveals a distinct concentration of specific ESeC classes, all classes are present in each LSeS. Controlling for social class, differences in household wealth are more marked between LSeS than between social classes within the same LSeS. Hence, the methodology unveils the latent socioeconomic strata, reveals a class schema for each stratum and points out potential stratum fractions within them. The results were validated using variables external to the model, namely household food security status and years of schooling. The external validation revealed the same ordered pattern and the presence of stratum fractions.Springer Netherlands2018-08-10T10:39:03Z2019-08-10T00:00:00Z2018-01-01T00:00:00Z20182018-08-10T11:37:09Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/16548eng0303-830010.1007/s11205-017-1710-5Caetano, A. J.Dias, J. G.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:35:21Zoai:repositorio.iscte-iul.pt:10071/16548Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:16:00.171426Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Socioeconomic classification of the working-age Brazilian population: a joint latent class analysis using social class and asset-based perspectives
title Socioeconomic classification of the working-age Brazilian population: a joint latent class analysis using social class and asset-based perspectives
spellingShingle Socioeconomic classification of the working-age Brazilian population: a joint latent class analysis using social class and asset-based perspectives
Caetano, A. J.
Asset-based approach
Brazil
Latent class analysis
Social class
Socioeconomic classification
title_short Socioeconomic classification of the working-age Brazilian population: a joint latent class analysis using social class and asset-based perspectives
title_full Socioeconomic classification of the working-age Brazilian population: a joint latent class analysis using social class and asset-based perspectives
title_fullStr Socioeconomic classification of the working-age Brazilian population: a joint latent class analysis using social class and asset-based perspectives
title_full_unstemmed Socioeconomic classification of the working-age Brazilian population: a joint latent class analysis using social class and asset-based perspectives
title_sort Socioeconomic classification of the working-age Brazilian population: a joint latent class analysis using social class and asset-based perspectives
author Caetano, A. J.
author_facet Caetano, A. J.
Dias, J. G.
author_role author
author2 Dias, J. G.
author2_role author
dc.contributor.author.fl_str_mv Caetano, A. J.
Dias, J. G.
dc.subject.por.fl_str_mv Asset-based approach
Brazil
Latent class analysis
Social class
Socioeconomic classification
topic Asset-based approach
Brazil
Latent class analysis
Social class
Socioeconomic classification
description This paper presents and applies a methodology of socioeconomic classification that integrates asset- and social class approaches. We employ data from the 2013 Brazilian National Household Survey and use latent class analysis to identify clusters and classify the working population. With regard to social class the Brazilian occupations are classified based on the European Socioeconomic Classification (ESeC) schema and an indicator of employment status. As for household wealth, we use the items related to household condition, ownership of durable goods and access to public services with the highest discriminatory power. We also make use of variables that account for the Brazilian spatial and socio-demographic heterogeneity. We found four clusters which we term latent socioeconomic stratum (LSeS). When compared we found an ordered pattern from the best-off LSeS (1) to the worst-off (4) with respect to household wealth and ESeC classes. Nevertheless, although the class composition of each LSeS reveals a distinct concentration of specific ESeC classes, all classes are present in each LSeS. Controlling for social class, differences in household wealth are more marked between LSeS than between social classes within the same LSeS. Hence, the methodology unveils the latent socioeconomic strata, reveals a class schema for each stratum and points out potential stratum fractions within them. The results were validated using variables external to the model, namely household food security status and years of schooling. The external validation revealed the same ordered pattern and the presence of stratum fractions.
publishDate 2018
dc.date.none.fl_str_mv 2018-08-10T10:39:03Z
2018-01-01T00:00:00Z
2018
2018-08-10T11:37:09Z
2019-08-10T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/16548
url http://hdl.handle.net/10071/16548
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0303-8300
10.1007/s11205-017-1710-5
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dc.publisher.none.fl_str_mv Springer Netherlands
publisher.none.fl_str_mv Springer Netherlands
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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