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Zwei Verfahren zur Analyse heterogener Kausalität: Time-Series-Cross-Section- und Mehrebenenmodelle

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Methoden der vergleichenden Politik- und Sozialwissenschaft

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Die vergleichende Politikwissenschaft ist regelmäßig durch das Small-N-Problem belastet. Klassische Querschnittsanalysen sind meist auf ein knappes empirisches Set von kaum mehr als zwanzig, je nach Fragestellung häufig auch weniger, Vergleichsstaaten verwiesen. Dieser Beitrag diskutiert zwei unterschiedliche, jedoch konzeptionell und ökonometrisch eng verwandte Analysemethoden, die durch die Hinzunahme weiterer Beobachtungen die empirische Sättigung zu verbessern bzw. erst herzustellen versuchen: (1) Time-Series-Cross-Section-Analysen und (2) hierarchische Mehrebenenmodelle.

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  1. Institut für Höhere Studien, Wien

    Guido Tiemann (Assistant Professor)

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  1. Guido Tiemann
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Susanne Pickel Gert Pickel Hans-Joachim Lauth Detlef Jahn

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© 2009 VS Verlag für Sozialwissenschaften | GWV Fachverlage GmbH, Wiesbaden

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Tiemann, G. (2009). Zwei Verfahren zur Analyse heterogener Kausalität: Time-Series-Cross-Section- und Mehrebenenmodelle. In: Pickel, S., Pickel, G., Lauth, HJ., Jahn, D. (eds) Methoden der vergleichenden Politik- und Sozialwissenschaft. VS Verlag für Sozialwissenschaften. https://doi.org/10.1007/978-3-531-91826-6_11

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  • DOI: https://doi.org/10.1007/978-3-531-91826-6_11

  • Publisher Name: VS Verlag für Sozialwissenschaften

  • Print ISBN: 978-3-531-16194-5

  • Online ISBN: 978-3-531-91826-6

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