In this paper, we study optimal model averaging estimators of regression coefficients in a multinomial logit model, which is commonly used many scientific fields. A Kullback–Leibler (KL) loss-based weight choice criterion developed to determine weights. Under some regularity conditions, prove that the resulting are asymptotically optimal. When true one candidate models, averaged consistent. Sim...

We give a two-line proof of long-standing conjecture Ben-Akiva and Lerman (1985) regarding the random utility representation nested logit model, thus providing renewed straightforward textbook treatment that model. As an application, we provide closed-form formula for correlation between two Fr\'echet variables coupled by Gumbel copula.

The availability of longitudinal data allows researchers to analyse the dynamics poverty. By using Turkish Statistical Institute’s (TurkStat) Income and Living Conditions Survey micro dataset, we households’ long-term monetary poverty conditions. We categorise as transitory chronic employ multinomial logit method determinants each types Results indicate that education household size are most ef...

In this research, we propose a novel approach for a multinomial logit model selection procedure: specifically, we apply association rules analysis to identifying potential interactions for multinomial logit modeling. Interaction effects are very common in reality, but conventional multinomial logit model selection methods typically ignore them. This is especially true for higher-order interacti...

In the past, research in traffic assignment modeling has been directed primarily towards the deterministic model. Alternative, more behavioral principles were thought to be too demanding computationally. This paper presents two mathematical contributions that enable one to solve a logit assignment model with flow-dependent travel times at a reduced cost. First, a convergence test for Fisk's min...