1. Referierte Fachzeitschrift // 2018

    Comparison of parametric and semiparametric representations of unobserved preference heterogeneity in logit models

    The logit-mixed logit (LML) model is a very recent advancement in semiparametric discrete choice models. LML represents the mixing distribution of a logit kernel as a sieve function (polynomials, step…

  2. Referierte Fachzeitschrift // 2018

    Extending the logit-mixed logit model for a combination of random and fixed parameters

    The logit-mixed logit (LML) model, which allows the analyst to semi-parametrically specify the mixing distribution of preference heterogeneity, is a very recent advancement in logit-type choice models. In…