This article presents a general approach for logit random effects modelling of clustered ordinal and nominal responses. We review multinomial logit random effects models in a unified form as multivariate generalized linear mixed models. Maximum likelihood estimation utilizes adaptive Gauss–Hermite quadrature within a quasi-Newton maximization algorithm. For cases in which this is computationall...

In this paper, we estimate a mixed logit model for demand in the U.S. processed cheese market. The estimates are used to determine pass-through rates of cost changes under different behavioral regimes. We find that, under collusion, the pass-through rates for all brands fall between 21% and 31% while, under Bertrand-Nash price competition, the range of pass-through rates are between 73% and 103...

This paper examines the determinants of exercise maintenance through the lens of behavioral economics. I aim to explain the motivational differences between those who successfully maintain healthy exercise habits and those who do not. The implications of this paper inform rowers, athletes and non-athletes alike how to approach exercise from a perspective of long-term maintenance and health. Add...

Trial-offer markets, where customers can sample a product before deciding whether to buy it, are ubiquitous in the online experience. Their static and dynamic properties are often studied by assuming that consumers follow a multinomial logit model and try exactly one product. In this paper, we study how to generalize existing results to a more realistic setting where consumers can try multiple ...