Earnings dynamics and inequality in Venezuela: 1995-1997
Autor(a) principal: | |
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Data de Publicação: | 2002 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional do FGV (FGV Repositório Digital) |
Texto Completo: | http://hdl.handle.net/10438/12615 |
Resumo: | In this paper, we decompose the variance of logarithmic monthly earnings of prime age males into its permanent and transitory components, using a five-wave rotating panel from the Venezuelan 'Encuesta de Hogares por Muestreo' from 1995 to 1997. As far as we know, this is the first time a variance components model is estimated for a developing country. We test several specifications and find that an error component model with individual random effects and first order serially correlated errors fits the data well. In the simplest model, around 22% of earnings variance is explained by the variance of permanent component, 77% by purely stochastic variation and the remaining 1% by serial correlation. These results contrast with studies from industrial countries where the permanent component is predominant. The permanent component is usually interpreted as the results of productivity characteristics of individuals whereas the transitory component is due to stochastic perturbations such as job and/or price instability, among others. Our findings may be due to the timing of the panel when occurred precisely during macroeconomic turmoil resulting from a severe financial crisis. The findings suggest that earnings instability is an important source of inequality in a region characterized by high inequality and macroeconomic instability. |
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Souza, André Portela Fernandes deEscolas::EPGEFGV2014-11-26T12:30:04Z2014-11-26T12:30:04Z2002-11-07http://hdl.handle.net/10438/12615In this paper, we decompose the variance of logarithmic monthly earnings of prime age males into its permanent and transitory components, using a five-wave rotating panel from the Venezuelan 'Encuesta de Hogares por Muestreo' from 1995 to 1997. As far as we know, this is the first time a variance components model is estimated for a developing country. We test several specifications and find that an error component model with individual random effects and first order serially correlated errors fits the data well. In the simplest model, around 22% of earnings variance is explained by the variance of permanent component, 77% by purely stochastic variation and the remaining 1% by serial correlation. These results contrast with studies from industrial countries where the permanent component is predominant. The permanent component is usually interpreted as the results of productivity characteristics of individuals whereas the transitory component is due to stochastic perturbations such as job and/or price instability, among others. Our findings may be due to the timing of the panel when occurred precisely during macroeconomic turmoil resulting from a severe financial crisis. The findings suggest that earnings instability is an important source of inequality in a region characterized by high inequality and macroeconomic instability.engEscola de Pós-Graduação em Economia da FGVSeminários de pesquisa econômica da EPGETodo cuidado foi dispensado para respeitar os direitos autorais deste trabalho. Entretanto, caso esta obra aqui depositada seja protegida por direitos autorais externos a esta instituição, contamos com a compreensão do autor e solicitamos que o mesmo faça contato através do Fale Conosco para que possamos tomar as providências cabíveisinfo:eu-repo/semantics/openAccessComponents of variance modelsEarnings inequalityEarnings dynamicsLatin AmericaEconomiaSalários - Modelos econométricosEarnings dynamics and inequality in Venezuela: 1995-1997info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlereponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVORIGINAL1112.pdf1112.pdfapplication/pdf148927https://repositorio.fgv.br/bitstreams/6d12fc6c-2870-429d-a647-543e0521c235/download89a8de49777789154ccd97a2c3192664MD51LICENSElicense.txtlicense.txttext/plain; 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dc.title.eng.fl_str_mv |
Earnings dynamics and inequality in Venezuela: 1995-1997 |
title |
Earnings dynamics and inequality in Venezuela: 1995-1997 |
spellingShingle |
Earnings dynamics and inequality in Venezuela: 1995-1997 Souza, André Portela Fernandes de Components of variance models Earnings inequality Earnings dynamics Latin America Economia Salários - Modelos econométricos |
title_short |
Earnings dynamics and inequality in Venezuela: 1995-1997 |
title_full |
Earnings dynamics and inequality in Venezuela: 1995-1997 |
title_fullStr |
Earnings dynamics and inequality in Venezuela: 1995-1997 |
title_full_unstemmed |
Earnings dynamics and inequality in Venezuela: 1995-1997 |
title_sort |
Earnings dynamics and inequality in Venezuela: 1995-1997 |
author |
Souza, André Portela Fernandes de |
author_facet |
Souza, André Portela Fernandes de |
author_role |
author |
dc.contributor.unidadefgv.por.fl_str_mv |
Escolas::EPGE |
dc.contributor.affiliation.none.fl_str_mv |
FGV |
dc.contributor.author.fl_str_mv |
Souza, André Portela Fernandes de |
dc.subject.eng.fl_str_mv |
Components of variance models Earnings inequality Earnings dynamics Latin America |
topic |
Components of variance models Earnings inequality Earnings dynamics Latin America Economia Salários - Modelos econométricos |
dc.subject.area.por.fl_str_mv |
Economia |
dc.subject.bibliodata.por.fl_str_mv |
Salários - Modelos econométricos |
description |
In this paper, we decompose the variance of logarithmic monthly earnings of prime age males into its permanent and transitory components, using a five-wave rotating panel from the Venezuelan 'Encuesta de Hogares por Muestreo' from 1995 to 1997. As far as we know, this is the first time a variance components model is estimated for a developing country. We test several specifications and find that an error component model with individual random effects and first order serially correlated errors fits the data well. In the simplest model, around 22% of earnings variance is explained by the variance of permanent component, 77% by purely stochastic variation and the remaining 1% by serial correlation. These results contrast with studies from industrial countries where the permanent component is predominant. The permanent component is usually interpreted as the results of productivity characteristics of individuals whereas the transitory component is due to stochastic perturbations such as job and/or price instability, among others. Our findings may be due to the timing of the panel when occurred precisely during macroeconomic turmoil resulting from a severe financial crisis. The findings suggest that earnings instability is an important source of inequality in a region characterized by high inequality and macroeconomic instability. |
publishDate |
2002 |
dc.date.issued.fl_str_mv |
2002-11-07 |
dc.date.accessioned.fl_str_mv |
2014-11-26T12:30:04Z |
dc.date.available.fl_str_mv |
2014-11-26T12:30:04Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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http://hdl.handle.net/10438/12615 |
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eng |
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eng |
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Seminários de pesquisa econômica da EPGE |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Escola de Pós-Graduação em Economia da FGV |
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Escola de Pós-Graduação em Economia da FGV |
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