dominant approaches: the mixed logit model, which assumes parametric and continuous heterogeneity distributions, and the latent … class logit model, which is a discrete and semiparametric counterpart of mixed logit. In addition to offer flexibility … continuous heterogeneity distributions of a mixed logit, to the discrete case of the latent class logit model. Our Monte Carlo …

the local logit model specification that supports the improved recovery prediction. This paper is the first to study a non … is comparable to that of local logit model. This calibrated parametric model will be attractive to applied researchers …

In this study, we compare the parameter estimates of the mixed logit model obtained with maximum likelihood and with …