We propose a nonparametric approach for estimating single-index, binarychoice models when parametric models such as Probit and Logit are potentially misspecified. The new approach involves two steps: first, we estimate index coefficients using sliced inverse regression without specifying a parametric probability function a priori; second, we estimate the unknown probability function using kerne...

Store choice decisions in the food retailing industry have been widely discussed in the literature. The importance of pricing, quality and assortment is known, and the influence of sociodemographic variables is small. In this paper, a mixed multinomial logit model is used to study the relationship between specific attitudes of households and their store type choice for fruits and vegetables. Th...

Numerous models of travel timing have been calibrated in the literature. Some treat time as a discrete variable using familiar discrete choice methods, while others have treated time in a continuous fashion. Both approaches offer distinct advantages. Here, a continuous logit model of work tour departure time choice is estimated, which offers the advantage of continuous-time response using a ran...

The paired combinatorial logit (PCL) model is one of the recent extended logit models adapted to resolve the overlapping problem in the route choice problem, while keeping the analytical tractability of the logit choice probability function. However, the development of efficient algorithms for solving the PCL model under congested and realistic networks is quite challenging, since it has large-...

We study firms that sell multiple differentiated substitutable products and customers whose purchase behavior follows a Nested Logit model, of which the Multinomial Logit model is a special case. Customers make purchasing decision sequentially under the Nested Logit model: they first select a nest of products and subsequently purchase a product within the selected nest. We consider the general ...

Theory: The spatial model of elections can better be represented by using conditional logit than by multinomial logit. The spatial model, and random utility models in general, suffer from a failure to adequately consider the sub­ stitutability of candidates sharing similar or identical issue positions. Hypotheses: Multinomial logit is not much better than successive applications of binomial log...

abstract in order to optimize the water management in agriculture in semi arid and arid conditions water-salinity function should be evaluated. in order to evaluate salinity and deficit irrigation two experiments were conducted in 2008 and 2009. kochia was grown with six levels of saline water (1.5, 7, 14, 21, 28, and 35 ds/m) and three levels of applied water (25, 75, and 125 percent of the wa...

objectives: the purpose of current semi-experimental study was a survey on effect abstract  of 16 week walking on psychosocial functioning related to quality of life among 60 to 75 years old men. methods & materials: for this reason, short form of health-related quality of life questionnaire (sf-36) and geriatric depression scale (gds) had been distributed to the subjects at 2 times of pre-test...

In clinical research, suitable visualization techniques of data after statistical analysis are crucial for the researches' and physicians' understanding. Common statistical techniques to analyze data in clinical research are logistic regression models. Among these, the application of binary logistic regression analysis (LRA) has greatly increased during past years, due to its diagnostic accurac...

In relatively unknown products, consumers use prices as a quality reference. Under such circumstances, the utility function can be non-negative for a specific price range and generate an inverted U-shaped function. The extra virgin olive oil market in Chile is a good example. Although domestic production and consumption have increased significantly in the last few years, consumer knowledge of t...