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Regional and individual determinants of labor mobility in brazilian manufacturing industry : hierarquic spatial approach for the period 1999-2002

By: GONÇALVES, Eduardo.
Contributor(s): Freguglia, Ricardo da Silva | SILVA, Amanda Reis Almeida.
Material type: materialTypeLabelArticlePublisher: Brasília : IPEA, jul./dez. 2015Title translated: Determinantes regionais e individuais da mobilidade do trabalho na indústria de transformação brasileira: uma abordagem hierárquica-espacial para o período 1999-2002 / Determinantes regionales e individuales de la movilidad laboral en la industria de transformación de brasil: un enfoque jerárquico-espacial para el período 1999-2002 / Les déterminants régionales et individuelles de la mobilité du travail: une approche spatiale hiérarchique pour la période 1999-2002.Subject(s): Migração | Mercado de Trabalho | Indicador Social | Tomada de Decisão | Indústria | AnáliseOnline resources: Acesso Planejamento e Políticas Públicas - PPP 45, p. 69-94Abstract: This paper aims to investigate individual and regional determinants of industry labor mobility in the state of São Paulo, Brazil. Two individual samples of both unskilled and skilled workers in the formal labor market are analyzed. The methodology adopted here makes use of a hierarchical logitAbstract: model that includes explaining variables at their individual and municipal levels for modeling the probability to migrate besides taking possible spatial heterogeneity and dependence into account. The hierarchical spatial analysis has revealed that the municipal features at the destination place have a greater impact on the skilled workers’ decision to migrate
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This paper aims to investigate individual and regional determinants of industry labor mobility in the state of São Paulo, Brazil. Two individual samples of both unskilled and skilled workers in the formal labor market are analyzed. The methodology adopted here makes use of a hierarchical logit

model that includes explaining variables at their individual and municipal levels for modeling the probability to migrate besides taking possible spatial heterogeneity and dependence into account. The hierarchical spatial analysis has revealed that the municipal features at the destination place have a greater impact on the skilled workers’ decision to migrate

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