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Stochastic Prediction in Multinomial Logit Models
Management Science, 2000It is standard practice to form predictions from multinomial logit models by ignoring the estimation error associated with the parameter estimates and solving for the predicted endogeneous variable (market share) in terms of the exogenous variables and the point estimates of the parameters.
Arthur Hsu, Ronald T. Wilcox
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Systematic Calibration of Multinomial Logit Models
Journal of Transportation Engineering, 1983This paper presents a systematic procedure for calibrating a multinomial logit model through the use of the UTPS computer package developed by the Urban Mass Transportation Administration (UMTA) for the purpose of travel demand forecasting. A brief examination of the mathematical basis of the multinomial logit model is also presented.
Snehamay Khasnabis +2 more
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Family labour force participation: Multinomial logit estimates
Applied Economics, 1981Studies of labour force participation choices are mostly aimed at explaining determinants of participation for individuals. The objective of this study is the empirical estimation of the parameters of family participation decisions. Family participation decisions can be analysed as a choice problem of a family between a finite number of distinct ...
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The Nested Multinomial Logit Model
1987An important and intuitive generalization of the MNL specification is the nested multinomial logit (NMNL) model (McFadden, 1978). This model is able to generate substantial deviations from the “Independence of Irrelevant Alternatives” assumption but retains most of the computational advantages of the MNL model. Because of these features, the NMNL model
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2004
Le modèle logit à coefficients aléatoires est le modèle le plus prometteur parmi les modèles de choix discrets. Il généralise le modèle logit multinomial standard et utilise des méthodes de simulation pour l'estimation du modèle. De plus, il permet d'estimer la distribution des propensions marginales à payer.
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Le modèle logit à coefficients aléatoires est le modèle le plus prometteur parmi les modèles de choix discrets. Il généralise le modèle logit multinomial standard et utilise des méthodes de simulation pour l'estimation du modèle. De plus, il permet d'estimer la distribution des propensions marginales à payer.
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A Multinomial Extension of the Linear Logit Model
International Economic Review, 1969A large number of analyses in the social sciences are concerned with the determinants of the probability that a particular event will occur. For example, one may be interested in the forces which motivate commuters to use their cars to go to work as against some form of mass transport. Time, cost, and other considerations will play a role. Let p be the
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Multinomial Logit Models of Trade Coefficients
1988Having studied how commodity prices and shipment rates can be simultaneously determined given trade coefficients, we now turn to the reverse question: how should trade coefficients be estimated, given prices and shipment rates? There are a number of possible approaches to this question and several trade coefficient models exist, but the modeling of ...
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Interpreting Results From the Multinomial Logit Model
Organizational Research Methods, 2015Jesper N Wulff
exaly
Fitting the Generalized Multinomial Logit Model in Stata
The Stata Journal, 2013Yuanyuan Gu, Arne Risa Hole
exaly

