This paper studies the preferences of tourists visiting the island of Sardinia (Italy), by means of a choice modelling approach. The focus is on some specific demand-enhancing effects which should confirm the feasibility of implementing sustainable tourism policies. Multinomial logit estimations reveal the strong negative effects resulting from the congestion of tourist attractions and the majo...

In this paper we investigate the value of travel time savings. Estimation of this is in most cases based on samples using a specific mode. We use a mixed logit model to estimate the VTTS together with an auxiliary probit equation to capture the fact that the sample is non random. The results show that the probit equation in some cases gives extra information that can be used to improve the VTTS...

The paper considers panel data methods for estimating ordered logit models with individual-specific correlated unobserved heterogeneity. We show that a popular approach is inconsistent, whereas some consistent and efficient estimators are available, including minimum distance and generalized method-of-moment estimators. A Monte Carlo study reveals the good properties of an alternative estimator...

The vast majority of discrete choice modelling (DCM) applications are now estimated on Stated Preference (SP) data, including but not limited to the field of transport research. In SP data, each respondent is faced with multiple choice situations, and recognising this repeated choice nature of the data is a crucial modelling issue. With the increasing popularity of the Mixed Multinomial Logit (...

This paper develops a new technique for estimating mixed logit models with a simple minorization-maximization (MM) algorithm. The algorithm requires minimal coding and is easy to implement for a variety of mixed logit models. Most importantly, the algorithm has a very low cost per iteration relative to current methods, producing substantial computational savings. In addition, the method is asym...

The modeling of Internet quality of service (QoS) provisioning is a multidisciplinary research subject. From the viewpoint of game theory, we propose a model that combines QoS index with price factor. We use the MultiNomial Logit (MNL) to model the choice behaviors of users. Each service class is considered an independent competing entity, which aims at maximizing its own utility. Based on nonc...

Informal learning or training is today considered to be one of the most viable ways for companies to have appropriately skilled employees. Actually many companies and organizations increasingly are used social media and web 2 for collective learning through informal learning or work place training. The aim of this research is to analyses the efficiency that different mode of training impartatio...

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...

Postherpetic neuralgia (PHN) is a form of refractory chronic neuralgia that, despite the importance of prevention, currently lacks any effective prophylaxis. The efficacy of live zoster vaccine in preventing PHN was recently reported [1]. However, this vaccine appeared to be of limited use in prophylaxis[2]. PHN has a variety of symptoms and significantly affects patient quality of life [3-12]....

The authors compare a variety of different designs for choice experiments that satisfy the properties of the MNL model. These include both previously published and new design approaches: the latter are based on “shifting” design codes to create choice alternatives that maximize the number of attribute comparisons. An analysis of relative statistical efficiency supports the use of the new Shifte...