Abstract:
This paper presents simple formulae for the utility covariances of the nested logit (NL) model, and based on these defines a “scaled tree” that can be used as an aid for the interpretation of estimation results. The paper also shows that the full information log-likelihood function of linear-in-the-parameters NL models is concave in the utility parameters. Thus, conditional on the scaling parameters, full information maximum likelihood (FIML) searches cannot get trapped in local maxima.
Publication date:
November 1, 1993
Publication type:
Journal Article
Citation:
Daganzo, C. F., & Kusnic, M. (1993). Technical Note—Two Properties of the Nested Logit Model. Transportation Science, 27(4), 395–400. https://doi.org/10.1287/trsc.27.4.395