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            Transitions in Segmented Labor Markets

            The Case of Brazil

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            Auteur
            Woltermann, Silke
            Language
            English
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            Résumé
            When labor market economists started to work on segmented labor markets, they classified informal employment as a transitory state. At the end of the 20<UP>th</UP> century, informal employment still persists governments’ attempts to eradicate it and represents a growing labor market segment not only in developing countries but worldwide. It is evident that informal employment will not disappear but has to be taken into account when designing labor market policies. This study investigates the role of informal dependent employment on the allocation of workers into formal employment in general and on the choice of job search channels in particular. The empirical analysis is based on Cox proportional hazard models and multinomial logistic regression, using Brazilian labor market panel data.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/154238
            Keywords
            Arbeitsmarktpolitik; Arbeitsmarktsegmentierung; Arbeitssuche; Brasilien; Brazil; Case; Informelle Beschäftigung; Labor; Markets; Schattenwirtschaft; Segmented; Segmentierte Arbeitsmärkte; Transitions; Woltermann; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology; thema EDItEUR::J Society and Social Sciences::JP Politics and government; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCF Labour / income economics
            DOI
            10.3726/b13892
            ISBN
            9783631753705
            Publisher
            Peter Lang International Academic Publishing Group
            Publication date and place
            Bern, 2018
            Series
            Goettinger Studien zur Entwicklungsoekonomik / Goettingen Studies in Development Economics,
            Pages
            220
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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