نتایج جستجو برای: Logit and Probit Models

تعداد نتایج: 16922151  

M. Aggarwal

Inspired by the interactive discrete choice logit models [Aggarwal, 2019], this paper presents the advanced families of discrete choice models, such as nested logit, mixed logit, and probit models to consider the interaction among the attributes. Besides the DM's attitudinal character is also taken into consideration in the computation of choice probabilities. The proposed choice models make us...

2006
Colin Cameron

Categorical outcome (or discrete outcome or qualitative response) regression models are models for a discrete dependent variable recording in which of two or more categories an outcome of interest lies. For binary data (two categories) probit and logit models or semiparametric methods are used. For multinomial data (more than two categories) that are unordered, common models are multinomial and...

اعظمی, آرش, حقانی, فتح‎اله,

The ancient and historic site of Bisotun is one of the most reliable archaeological works of the world, which was registered in the UNESCO World Heritage List in 2006. This research studies the economic value (including recreational value and existential value) of Bisotun Historical Complex using the Logit and Probit valuation models. The statistical population of the study was visitors to the ...

2015
Dimitris Potoglou

Empirical studies on household car ownership have used two types of discrete choice modelling structures, the ordered and the unordered. In ordered structures such as the ordered logit and ordered probit models, the choice of the number of household-vehicles arises from a uni-dimensional latent index that reflects the propensity of a household to own vehicles. Unordered response models, on the ...

2000
Marcela A. Munizaga Benjamin G. Heydecker Juan de Dios

The Multinomial Logit, discrete choice model of transport demand, has several restrictions when compared with the more general Multinomial Probit model. The most famous of these are that unobservable components of utilities should be mutually independent and homoskedastic. Correlation can be accommodated to a certain extent by the Hierarchical Logit model, but the problem of heteroskedasticity ...

2006
Anastasios Michailidis

The main reason for carrying out this study was to determine possible relationships among several adoption parameters of computer use, internet usage and internet access in agriculture. The key options for determining relationships (apart from non-parametric correlation techniques) are canonical correlation analysis, probit models and logit models. Canonical correlation analysis is generally se...

Journal: :تحقیقات مالی 0
حسین پناهی استادیار اقتصاد، دانشکده اقتصاد مدیریت و بازرگانی، دانشگاه تبریز، ایران احمد اسدزاده استادیار اقتصاد، دانشکده اقتصاد مدیریت و بازرگانی، دانشگاه تبریز، ایران علیرضا جلیلی مرند دانشجوی دکترای علوم اقتصادی، اقتصاد مدیریت و بازرگانی، دانشگاه تبریز، ایران

this study predicts corporate bankruptcy five years before its occurrence using financial ratios introduced in altman’s z-score model and current ratio. three estimation methods namely; liner probability, logit and probit models have chosen for model estimation. the sample contains 134 companies in tehran stock exchange during 2003. the precision of prediction of the estimated models for the ma...

2017
Lili Lu Jian Wang Pengjun Zheng Wei Wang

Among different stochastic user equilibrium (SUE) traffic assignment models, the Logit-based stochastic user equilibrium (SUE) is extensively investigated by researchers. It is constantly formulated as the low-level problem to describe the drivers' route choice behavior in bi-level problems such as network design, toll optimization et al. The Probit-based SUE model receives far less attention c...

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