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- handle: 10670/1.ezx5e1
- halshs: halshs-00717982
info:eu-repo/semantics/OpenAccess
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Abstention Ecological Inference Linear Regression Model Multi- collinearity Parisian Agglomeration Political GeographySujets proches
Linear regression Regression modeling Analysis, Regression Induction, Ampliative Ampliative induction Inference (Logic) Frenchmen (French people) Pattern ModelCiter ce document
Russo Luana et al., « Aggregation Level Matters: Evidences from French Electoral Data », Archive ouverte de Sciences Po (SPIRE), ID : 10670/1.ezx5e1
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This working paper, issued from the Cartelec project, raises a method- ological issue regarding ecological inference. Studying abstention on two recent French elections in the Parisian agglomeration, a linear regression is launched on three diff erent levels of aggregation from the nest one (polling station) until cities and electoral districts (circonscriptions). Tests on multicollinearity clearly indicate that employing the nest level of aggregation allows more variables being signi cant, enhances the explanatory power of the model, and improves collinearity amongst dependant variables.