Multilevel Models for Repeated Binary Outcomes: Attitudes and Voting over the Electoral Cycle

Abstract
Summary: Models for fitting longitudinal binary responses are explored by using a panel study of voting intentions. A standard multilevel repeated measures logistic model is shown to be inadequate owing to a substantial proportion of respondents who maintain a constant response over time. A multivariate binary response model is shown to be a better fit to the data.

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