Recent trends in Employees’ Earnings Inequality in Portugal. A quantitative analysis between 1986 and 2017
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/89731 https://doi.org/10.2298/PAN2003333S |
Resumo: | This paper examines employees’ earnings inequality in Portugal for1986-2017 using data from the Personnel Records database. Our objective istwofold: (a) characterize earnings inequality by comparing representative distri-butions, before and after the great crisis; and (b) investigate the role played bythe business cycle on the behaviour of earnings inequality by estimating Auto-regressive Distributed Lag (ADL) models. To identify trends and variations along the trend in earnings inequality we use cardinal measures and the coefficient ofvariation. We inspect the characteristics of earnings distributions in terms of mo-ments (mean and median) and polarization (using relative distributions analysis).The main findings are: (1) earnings inequality shows a positive trend (exceptduring the great crisis); (2) polarization is present in every year, with lower po-larisation prevailing over upper polarization, both evolving at different paces(very fast 1989-2002; slower pace 2002-2008; negative growth 2008-2017); (3) the business cycle relationship with earnings inequality is negative. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Recent trends in Employees’ Earnings Inequality in Portugal. A quantitative analysis between 1986 and 2017Earnings inequality, Measures of inequality, Polarisation, ADL modelsThis paper examines employees’ earnings inequality in Portugal for1986-2017 using data from the Personnel Records database. Our objective istwofold: (a) characterize earnings inequality by comparing representative distri-butions, before and after the great crisis; and (b) investigate the role played bythe business cycle on the behaviour of earnings inequality by estimating Auto-regressive Distributed Lag (ADL) models. To identify trends and variations along the trend in earnings inequality we use cardinal measures and the coefficient ofvariation. We inspect the characteristics of earnings distributions in terms of mo-ments (mean and median) and polarization (using relative distributions analysis).The main findings are: (1) earnings inequality shows a positive trend (exceptduring the great crisis); (2) polarization is present in every year, with lower po-larisation prevailing over upper polarization, both evolving at different paces(very fast 1989-2002; slower pace 2002-2008; negative growth 2008-2017); (3) the business cycle relationship with earnings inequality is negative.COMPETE 2020, Portugal 2020 and the European Union (POCI-01-0145-FEDER-029365) and Fundação para a Ciência e a Tecnologia I.P./MCTES through the research project PTDC/EGE-ECO/29365/2017 (“WISER Portugal - Welfare Intervention by the State and Economic Resilience in Portugal”).Panoeconomicus2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/89731http://hdl.handle.net/10316/89731https://doi.org/10.2298/PAN2003333Seng2217-2386https://panoeconomicus.org/index.php/jorunal/article/view/1191/595Simões, MartaDuarte, M. AdelaideSousa Andrade, Joãoinfo: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:RCAAP2022-05-25T06:22:02Zoai:estudogeral.uc.pt:10316/89731Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:09:58.484646Repositório 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 |
Recent trends in Employees’ Earnings Inequality in Portugal. A quantitative analysis between 1986 and 2017 |
title |
Recent trends in Employees’ Earnings Inequality in Portugal. A quantitative analysis between 1986 and 2017 |
spellingShingle |
Recent trends in Employees’ Earnings Inequality in Portugal. A quantitative analysis between 1986 and 2017 Simões, Marta Earnings inequality, Measures of inequality, Polarisation, ADL models |
title_short |
Recent trends in Employees’ Earnings Inequality in Portugal. A quantitative analysis between 1986 and 2017 |
title_full |
Recent trends in Employees’ Earnings Inequality in Portugal. A quantitative analysis between 1986 and 2017 |
title_fullStr |
Recent trends in Employees’ Earnings Inequality in Portugal. A quantitative analysis between 1986 and 2017 |
title_full_unstemmed |
Recent trends in Employees’ Earnings Inequality in Portugal. A quantitative analysis between 1986 and 2017 |
title_sort |
Recent trends in Employees’ Earnings Inequality in Portugal. A quantitative analysis between 1986 and 2017 |
author |
Simões, Marta |
author_facet |
Simões, Marta Duarte, M. Adelaide Sousa Andrade, João |
author_role |
author |
author2 |
Duarte, M. Adelaide Sousa Andrade, João |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Simões, Marta Duarte, M. Adelaide Sousa Andrade, João |
dc.subject.por.fl_str_mv |
Earnings inequality, Measures of inequality, Polarisation, ADL models |
topic |
Earnings inequality, Measures of inequality, Polarisation, ADL models |
description |
This paper examines employees’ earnings inequality in Portugal for1986-2017 using data from the Personnel Records database. Our objective istwofold: (a) characterize earnings inequality by comparing representative distri-butions, before and after the great crisis; and (b) investigate the role played bythe business cycle on the behaviour of earnings inequality by estimating Auto-regressive Distributed Lag (ADL) models. To identify trends and variations along the trend in earnings inequality we use cardinal measures and the coefficient ofvariation. We inspect the characteristics of earnings distributions in terms of mo-ments (mean and median) and polarization (using relative distributions analysis).The main findings are: (1) earnings inequality shows a positive trend (exceptduring the great crisis); (2) polarization is present in every year, with lower po-larisation prevailing over upper polarization, both evolving at different paces(very fast 1989-2002; slower pace 2002-2008; negative growth 2008-2017); (3) the business cycle relationship with earnings inequality is negative. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 |
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 |
http://hdl.handle.net/10316/89731 http://hdl.handle.net/10316/89731 https://doi.org/10.2298/PAN2003333S |
url |
http://hdl.handle.net/10316/89731 https://doi.org/10.2298/PAN2003333S |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2217-2386 https://panoeconomicus.org/index.php/jorunal/article/view/1191/595 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Panoeconomicus |
publisher.none.fl_str_mv |
Panoeconomicus |
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 |
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1799133994385670144 |