Earnings dynamics and inequality in Venezuela: 1995-1997

Detalhes bibliográficos
Autor(a) principal: Souza, André Portela Fernandes de
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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spelling 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
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dc.publisher.none.fl_str_mv Escola de Pós-Graduação em Economia da FGV
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