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Measures of Fit for Multinomial Discrete Models

Author

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  • J.S. Cramer

    (Tinbergen Institute)

Abstract

In a discrete model, the predicted probabilities of a particular eventcan be matched to the observed (0, I) outcomes and this will give riseto a measure of fit for that event. Previous results for the binomialmodel are applied to multinomial models. In these models the measureof fit will vary between the various events, indicating that the modelperforms better for some than for others. In addition to these differentialmeasures of fit for each separate event a single overallmeasure is constructed for the model as a whole.

Suggested Citation

  • J.S. Cramer, 2001. "Measures of Fit for Multinomial Discrete Models," Tinbergen Institute Discussion Papers 01-082/4, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20010082
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    File URL: https://papers.tinbergen.nl/01082.pdf
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    Cited by:

    1. Enrico Fabrizi, 2009. "The Determinants of Labour Market Transitions," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 68(2), pages 233-265, July.

    More about this item

    Keywords

    Goodness of fit; orthogonal residuals; R2; multinomial logit model;
    All these keywords.

    JEL classification:

    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis

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