Results 21 to 30 of about 69,287 (267)
Modeling enterprise location choice decision behavior
This study presents a location choice model that incorporates urban spatial effects for enterprises. A modeling framework is developed to analyze decisions regarding location choice for enterprises using a series of discrete choice models including ...
Nguyen Cao Y
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On the equivalence of location choice models: Conditional logit, nested logit and Poisson [PDF]
It is well understood that the two most popular empirical models of location choice-conditional logit and Poisson - return identical coefficient estimates when the regressors are not individual specific. We show that these two models differ starkly in terms of their implied predictions.
Schmidheiny, Kurt, Brülhart, Marius
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Ordered Choice Models: Ordinal Logit and Ordinal Probit [PDF]
Classical ordinal logit and probit models are used in studies where the dependent variable is categorical and ordinal. In order to use these models, the assumption of parallel slopes must be met.
Öznur İşçi Güneri +2 more
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This paper investigates the performance – in terms of choice probabilities and correlations – of existing and new specifications of closed-form route choice models with flexible correlation patterns, namely the Link Nested Logit (LNL), the Paired ...
Fiore Tinessa +4 more
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This paper introduces the package gmnl in R for estimation of multinomial logit models with unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) data.
Mauricio Sarrias, Ricardo Daziano
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This study aim to comparing accuracy in the analysis of qualitative response data especially to analyze the probability of car ownership households by using LPM models , GMM, Probit and Logit Models.
Syamsurijal AK, imam Asngari
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Penalized multinomial mixture logit model [PDF]
A classification problem is considered where the observed classes are mixtures of some subclasses. The multinomial logit model is used to model the dependence between subclasses labels and predictors. A version of the EM algorithm is proposed for fitting the resulting mixture model.
Shaheena Bashir, Edward M. Carter
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Multinomial Logit Models for the Austrian Labor Market
In this paper we analyze the selection of industry branches by employees in the Austrian labor market. For this purpose we use the standard logit model and the heteroscedastic extreme value model.
Ivan Pryanishnikov, Katarina Zigova
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Specification Tests for the Multinomial Logit Model [PDF]
In the paper we provide two sets of computationally convenient specification tests for the multinomial logit model. The first test is an application of the \textit{J. Hausman} [ibid. 46, 1251-1271 (1978; Zbl 0397.62043)] specification test procedure. The basic idea for the test here is to test the reverse implication of the independence from irrelevant
Hausman, Jerry A., McFadden, Daniel
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Bayesian Disaggregate and Aggregate Calibration of Path Logit Choice Models
In transport demand analysis, the calibration of a model means estimation of its (endogenous) parameters from observed data with an inference statistical estimator.
Giulio Erberto Cantarella +1 more
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