this study focused to identify the likelihood factors affecting on farmers’ higher gain from paddy marketing in the north central province of sri lanka, where the main paddy cultivation area of the country. the required data was drawn from the field survey carried out in three irrigation systems covering 257 farmers during july to august 2010. the empirical logit model was used to assess factor...

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...

Using discrete choice experiments (DCEs) to estimate health state utility values has become an important alternative to the conventional methods of Time Trade-Off and Standard Gamble. Studies using DCEs have typically used the conditional logit to estimate the underlying utility function. The conditional logit is known for several limitations. In this paper, we propose two types of models based...

the paper aimed to assess the factors affecting the willingness of tomato producer to produce organic products in alborz province in crop year 2010-11. the collected data was analysis by descriptive analysis and logit econometrics model. the results of descriptive analysis showed among 90 respondents, 42.2% willing for conversion to organic agriculture.  the results of logit model estimation in...

In this paper we develop a two-step survival time approach – a discrete logit model with survival time dummies – that allows for time-varying explanatory variables and interval censored data. Our empirical analysis reveals that the twostep approach outperforms the benchmark logit model with respect to out-ofsample prediction accuracy. Survival time, however, does not play an important role. The...

In this paper we develop a model of Bertrand price competition with uncertainty as to the number of bidders. The auction models predict retail price dispersion as an observable feature of price discrimination. The implications of the auction models are tested using a logit model on primary data. Some simulations of the logit model further enrich and capture critical states of chain-store rivalr...

The distribution of the value of travel time savings (VTTS) is investigated employing nonparametric techniques on a large, high quality data set. When background variables are not included in the model it is found that the right tail of the distribution is not observed and hence the mean VTTS cannot be evaluated. This conclusion changes when background variables are introduced into a semiparame...

We consider assortment and price optimization problems under the d-level nested logit model. In the assortment optimization problem, the goal is to find the revenue-maximizing assortment of products to offer, when the prices of the products are fixed. Using a novel formulation of the d-level nested logit model as a tree of depth d, we provide an efficient algorithm to find the optimal assortmen...

This article introduces a Markov chain Monte Carlo (MCMC) method for sampling the parameters of a multinomial logit model from their posterior distribution. Let yi ∈ {0, . . . ,M} denote the categorical response of subject i with covariates xi = (xi1, . . . , xip) T . Let X = (x1, . . . ,xn) T denote the design matrix, and let y = (y1, . . . , yn) T . Multinomial logit models relate yi to xi th...

Within forest growth modeling it is customary to employ LOGIT models to predict individual tree mortality. In this paper we use Learning Vector Quantization and the self-organizing map as diierent formalisms to predict individual tree mortality. The data set for this study came from permanent sample plots in uneven-aged Norway spruce (Picea abies L. Karst) stands in Austria. After parameterizin...