Aggregate Data, Ecological Regression, and Voting Transitions

DOI10.2307/2289235zbMath0604.62119OpenAlexW4254778890MaRDI QIDQ3740892

Clive Payne, Philip J. Brown

Publication date: 1986

Full work available at URL: https://doi.org/10.2307/2289235

zbMATH Keywords

electionsmarginal distributionsmatrix derivativesecological regressionaggregated datacompound multinomial modelvoting transitions

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Mathematical sociology (including anthropology) (91D99)

Related Items (9)

A cluster analysis of vote transitions ⋮ Discovering hidden statistical issues through individual-level models in ecological studies ⋮ Network flow methods for electoral systems ⋮ Assessing uncertainty of voter transitions estimated from aggregated data. Application to the 2017 French presidential election ⋮ Ecological Fallacy and Covariates: New Insights based on Multilevel Modelling of Individual Data ⋮ Latent class models for ecological inference on voters transitions ⋮ Exit polling and racial bloc voting: combining individual-level and R\(\times \)C ecological data ⋮ On inference from Markov chain macro-data using transforms ⋮ A revised Brown and Payne model of voting behaviour applied to the 2009 elections in Italy

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