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        Migration und Arbeitsmarkt

        Eine empirische Analyse der Performance von Auslaendern in der Schweiz

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        Author(s)
        Golder, Stefan
        Language
        German
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        Abstract
        Die Entwicklung der schweizerischen Volkswirtschaft ist stark von der Zuwanderung ausländischer Arbeitskräfte geprägt. Strukturelle Veränderungen im Migrationsangebot und in der Migrationsnachfrage haben dazu geführt, daß die schweizerische Migrationspolitik vor großen Herausforderungen steht. Die Analyse der Arbeitsmarktperformance, d.h. der Vergleich der Beschäftigungs- und Einkommenssituation von In- und Ausländern, ermöglicht eine umfassende Evaluation dieses Zusammenhangs. Die Analyse der Arbeitsmarktperformance erfolgt über lineare sowie Probit Regressionen im Rahmen einer Querschnittsanalyse. Basierend auf den Erkenntnissen dieser Überlegungen werden Vorschläge zur Neuorientierung der schweizerischen Migrationspolitik abgeleitet.
        URI
        http://library.oapen.org/handle/20.500.12657/27102
        Keywords
        Analyse; Arbeitsmarkt; Ausländern; Eine; empirische; Golder; Migration; Performance; Schweiz
        DOI
        10.3726/b13560
        ISBN
        9783631749982
        OCN
        1082959061
        Publisher
        Peter Lang International Academic Publishers
        Publisher website
        https://www.peterlang.com/
        Publication date and place
        Bern, 2018
        Series
        Schriften zur Wirtschaftstheorie und Wirtschaftspolitik, 11
        Classification
        Sociology
        Political science and theory
        Labour / income economics
        Economic systems and structures
        Pages
        241
        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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