Travel demand is well announced as a crucial component of transportation planning. This paper aims to develop a direct demand model, denoting a more acceptable abstraction of reality, for intercity passengers in daily work and leisure trips in Tehran province. The model utilizes combined estimation across the data source, collected in 2011, of travelers originating from ...

This paper examines necessary and sufficient conditions for the existence of Maximum Likelihood Estimates (MLE) and the propriety of the posterior under a bounded improper prior density for a wide class of discrete (or multinomial) choice models. The choice models are based on the principle of utility maximization. Our results cover a wide class of latent variable distributions defining the uti...

We propose a semiparametric estimator for multinomial discrete choice models. The term “semiparametric” refers to the fact that we do not specify a particular functional form for the error term in the random utility function and we allow for heteroskedasticity and serial correlation. Despite being semiparametric, the rate of convergence of the smoothed maximum score estimator is not affected by...

background in early 2012, national health insurance scheme (nhis) members in ashanti region were allowed to choose their own primary healthcare providers. this paper investigates the factors that enrolees in the ashanti region considered in choosing preferred primary healthcare providers (ppps) and direction of association of such factors with the choice of ppp.   methods using a cross-sectiona...

since the breakdown of the bretton woods system, exchange arrangements of countries have become flexible. several attempts have been made to determine whether the theories of optimum currency areas adequately explain the choice of an exchange rate system. in this paper, the optimum currency area is retested. using cross-section data, a regression analysis of the choice of an exchange rate syste...

The assortment optimization problem under the mixture of multinomial logit models is NPcomplete and there are different approximation methods to obtain upper bounds on the optimal expected revenue. In this paper, we analytically compare the upper bounds obtained by the different approximation methods. We propose a new, tractable approach to construct an upper bound on the optimal expected reven...

It is a common finding in empirical discrete choice studies that the estimated mean relative values of the coefficients (i.e. WTP’s) from multinomial logit (MNL) estimations differ from those calculated using mixed logit estimations, where the mixed logit has the better statistical fit. However, it is less clear under exactly what circumstances such differences arise, whether they are important...

DCM (Discrete Choice Models) is a package, written in Ox, for estimating a class of discrete choice models. DCM represents an important development for both the OxMetric and, more generally, microeconometric computing environment in making available a broad range of discrete choice models, including standard binary response models, with notable extensions including conditional mixed logit, mixe...

the aim of this study was investigation of the factors affecting the primary choice of consumers in food purchasing in mashhad city by applying cross section data of 201 households in 2012. in this study, 56, 30, and 14% of the consumers chose healthiness of food, price of food, and taste of food, respectively, as the primary preference in food purchase. results of applying multinomial logit mo...

This paper estimates a locational choice model to assess the demand for local public services, using a data set where individuals chooses between 26 municipalities within a local labor market. We assess the importance of the IIA assumption by comparing the predictions of three difference models; the conditional logit (CL) model, the mixed logit (MXL) model, and the multinomial probit (MNP) mode...