Abstract
Multilevel models are used to analyse contextual effects in hierarchical structures in order to explore the relationship among nested units. This study aims to observe the link among the territorial micro units nested in higher levels. We examine electoral data in two stages, defined in first level units inside nested structures. In these we used economic, demographic and social variables in order to characterize the context and explore its effects upon the electoral outline of territorial units.
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D’Agata, R., Tomaselli, V. (2011). Using Multilevel Models to Analyse the Context of Electoral Data. In: Ingrassia, S., Rocci, R., Vichi, M. (eds) New Perspectives in Statistical Modeling and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11363-5_63
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DOI: https://doi.org/10.1007/978-3-642-11363-5_63
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