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useR! 2024
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8 - 11 July, 2024
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Wednesday, July 10 • 13:30 - 15:00
Multinomial Logit Models, with or without Random Effects or Overdispersion - Martin Elff, Zeppelin Universität, Friedrichshafen

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The open-source package 'mclogit' allows to fit multinomial logit models without or with random effects. It supports two main types of models: conditional logit models, which can be used to analyse discrete choices (from potentially varying choice sets), and baseline category logit models, which can be used to analyse polychotomous responses. Both types of models can be extended by (multilevel) random effects or an overdipersion parameter. Estimation of random effects variants of these models is based either on a Laplace or Solomon-Cox approximation.

In the session, the specification of conditional logit models and baseline category logit model is discussed with practical examples. In addition, results of a simulation study are presented, which examines the performance of the approximation in finite samples.
Speakers
avatar for Martin Elff

Martin Elff

Prof. Dr., Zeppelin Universität, Friedrichshafen
Martin Elff is a professor of political sociology at Zeppelin University (Friedrichshafen, Germany). He is the author of "Data Management with R: A Guide for Social Scientists" (Sage Publications) and of three R packages published on CRAN. He has published research articles on electoral... Read More →

Wednesday July 10, 2024 13:30 - 15:00 CEST
TBD
  Statistical modelling, Poster Session
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