Who are the poor? Who are the rich? Evidence for Portugal
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://ciencia.iscte-iul.pt/public/pub/id/11847 http://hdl.handle.net/10071/11777 |
Resumo: | A new and integrated approach to the measurement of inequality in income distribution, poverty, and richness was recently proposed. Based on that approach and considering data for the Portuguese economy, we estimate a multinomial model in order to identify the main determinants of the probability of a household being poor, middle class, or rich using a set of characteristics of the households and the household’s individual of reference as explanatory variables. The evidence obtained indicates that: (i) the determinants of poverty and richness are similar in qualitative terms; (ii) household type, main source of income, education, and labor market state are the most important factors explaining these phenomena. |
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Who are the poor? Who are the rich? Evidence for PortugalPovertyRichnessPortugalDeterminantsA new and integrated approach to the measurement of inequality in income distribution, poverty, and richness was recently proposed. Based on that approach and considering data for the Portuguese economy, we estimate a multinomial model in order to identify the main determinants of the probability of a household being poor, middle class, or rich using a set of characteristics of the households and the household’s individual of reference as explanatory variables. The evidence obtained indicates that: (i) the determinants of poverty and richness are similar in qualitative terms; (ii) household type, main source of income, education, and labor market state are the most important factors explaining these phenomena.Emerald Group Publishing Ltd.2016-07-18T14:26:48Z2013-01-01T00:00:00Z20132016-07-18T14:25:53Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://ciencia.iscte-iul.pt/public/pub/id/11847http://hdl.handle.net/10071/11777eng0306-8293Crespo, N.Moreira, S.Simões, N.info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:59:16Zoai:repositorio.iscte-iul.pt:10071/11777Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:31:05.613546Repositório 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 |
Who are the poor? Who are the rich? Evidence for Portugal |
title |
Who are the poor? Who are the rich? Evidence for Portugal |
spellingShingle |
Who are the poor? Who are the rich? Evidence for Portugal Crespo, N. Poverty Richness Portugal Determinants |
title_short |
Who are the poor? Who are the rich? Evidence for Portugal |
title_full |
Who are the poor? Who are the rich? Evidence for Portugal |
title_fullStr |
Who are the poor? Who are the rich? Evidence for Portugal |
title_full_unstemmed |
Who are the poor? Who are the rich? Evidence for Portugal |
title_sort |
Who are the poor? Who are the rich? Evidence for Portugal |
author |
Crespo, N. |
author_facet |
Crespo, N. Moreira, S. Simões, N. |
author_role |
author |
author2 |
Moreira, S. Simões, N. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Crespo, N. Moreira, S. Simões, N. |
dc.subject.por.fl_str_mv |
Poverty Richness Portugal Determinants |
topic |
Poverty Richness Portugal Determinants |
description |
A new and integrated approach to the measurement of inequality in income distribution, poverty, and richness was recently proposed. Based on that approach and considering data for the Portuguese economy, we estimate a multinomial model in order to identify the main determinants of the probability of a household being poor, middle class, or rich using a set of characteristics of the households and the household’s individual of reference as explanatory variables. The evidence obtained indicates that: (i) the determinants of poverty and richness are similar in qualitative terms; (ii) household type, main source of income, education, and labor market state are the most important factors explaining these phenomena. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-01-01T00:00:00Z 2013 2016-07-18T14:26:48Z 2016-07-18T14:25:53Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ciencia.iscte-iul.pt/public/pub/id/11847 http://hdl.handle.net/10071/11777 |
url |
https://ciencia.iscte-iul.pt/public/pub/id/11847 http://hdl.handle.net/10071/11777 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0306-8293 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Emerald Group Publishing Ltd. |
publisher.none.fl_str_mv |
Emerald Group Publishing Ltd. |
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 instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799134872907808768 |