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    Transitions in Segmented Labor Markets

    The Case of Brazil

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    Author(s)
    Woltermann, Silke
    Language
    English
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    Abstract
    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
    http://library.oapen.org/handle/20.500.12657/26881
    Keywords
    Arbeitsmarktpolitik; Arbeitsmarktsegmentierung; Arbeitssuche; Brasilien; Brazil; Case; Informelle Beschäftigung; Labor; Markets; Schattenwirtschaft; Segmented; Segmentierte Arbeitsmärkte; Transitions; Woltermann
    DOI
    10.3726/b13892
    ISBN
    9783631753705
    OCN
    1082958800
    Publisher
    Peter Lang International Academic Publishers
    Publisher website
    https://www.peterlang.com/
    Publication date and place
    Bern, 2018
    Series
    Goettinger Studien zur Entwicklungsoekonomik / Goettingen Studies in Development Economics, 14
    Classification
    Sociology and anthropology
    Politics and government
    Labour / income economics
    Pages
    220
    Rights
    https://creativecommons.org/licenses/by/4.0/legalcode
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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