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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
            https://doab-dev.siscern.org/handle/20.500.12854/161245
            Keywords
            Analyse; Arbeitsmarkt; Ausländern; Eine; empirische; Golder; Migration; Performance; Schweiz; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCF Labour / income economics; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCS Economic systems and structures
            DOI
            10.3726/b13560
            ISBN
            9783631749982
            Publisher
            Peter Lang International Academic Publishing Group
            Publication date and place
            Bern, 2018
            Series
            Schriften zur Wirtschaftstheorie und Wirtschaftspolitik,
            Pages
            241
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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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