Modeling configurational explanations
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Alessia Damonte [1]
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[1] University of Milan
University of Milan
Milán, Italia
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- Localización: Rivista italiana di scienza politica, ISSN 0048-8402, ISSN-e 2057-4908, Vol. 51, Nº. 2, 2021 (Ejemplar dedicado a: Capturing Causation: Issues of Research Design in Political Science), págs. 182-197
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
Howcan Qualitative Comparative Analysis contribute to causal knowledge? The article’s answer builds on the shift from design to models that the Structural Causal Model framework has compelled in the probabilistic analysis of causation. From this viewpoint, models refine the claim that a ‘treatment’ has causal relevance as they specify the ‘covariates’ that make some units responsive. The article shows how QCA can establish configurational models of plausible ‘covariates’. It explicates the rationale, operations, and criteria that confer explanatory import to configurational models, then illustrates how the basic structures of the SCM can widen the interpretability of configurational solutions and deepen the dialogue among techniques.
