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Conditional log-linear models for analyzing categorical panel data.
- Article from:
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Journal of the American Statistical Association
- Article date:
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June 1, 1994
- Author:
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;
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Copyright informationCOPYRIGHT 1994 American Statistical Association. This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan. All inquiries regarding rights should be directed to the Gale Group. (Hide copyright information)
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Alternative approaches to the analysis of panel data called conditional log-linear models are used to predict sequences of categorical response. These include Markov models, independence models and distance models. The method is advantageous because quality of prediction is measured using a logarithmic function and conditional probabilities of responses consistent with the model are chosen to obtain the smallest expected penalty. Data from the National Longitudinal Survey of Youth is used to illustrate the predictive power of the method.
Conditional log-linear models are developed for panel data and used to predict sequences of categorical responses. The class of models considered includes ...
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