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Simple inference in multinomial and ordered logit


  • David Crawford
  • Robert Pollak
  • Francis Vella


This paper provides some simple methods of interpreting the coefficients in multinomial logit and ordered logit models. These methods are summarized in Propositions concerning the magnitudes, signs, and patterns of partial derivatives of the outcome probabilities with respect to the exogenousvariables. The paper also provides an empirical example illustrating the use of these Propositions.

Suggested Citation

  • David Crawford & Robert Pollak & Francis Vella, 1998. "Simple inference in multinomial and ordered logit," Econometric Reviews, Taylor & Francis Journals, vol. 17(3), pages 289-299.
  • Handle: RePEc:taf:emetrv:v:17:y:1998:i:3:p:289-299 DOI: 10.1080/07474939808800417

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    References listed on IDEAS

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    Cited by:

    1. John Mullahy & Stephanie A. Robert, 2008. "No Time to Lose? Time Constraints and Physical Activity," NBER Working Papers 14513, National Bureau of Economic Research, Inc.
    2. Jolanda Hessels & Isabel Grilo & Roy Thurik & Peter Zwan, 2011. "Entrepreneurial exit and entrepreneurial engagement," Journal of Evolutionary Economics, Springer, vol. 21(3), pages 447-471, August.
    3. John Mullahy, 2010. "Multivariate Fractional Regression Estimation of Econometric Share Models," NBER Working Papers 16354, National Bureau of Economic Research, Inc.

    More about this item


    Inference; Mult inomial Logit; Ordered Logit; JEL Classification: C12;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General


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