Results 21 to 30 of about 69,287 (267)

Modeling enterprise location choice decision behavior

open access: yesJournal of Transport and Land Use, 2021
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
doaj   +1 more source

On the equivalence of location choice models: Conditional logit, nested logit and Poisson [PDF]

open access: yesJournal of Urban Economics, 2009
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
openaire   +7 more sources

Ordered Choice Models: Ordinal Logit and Ordinal Probit [PDF]

open access: yesJournal of Interdisciplinary Sciences, 2022
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
doaj  

Choice probabilities and correlations in closed-form route choice models: Specifications and drawbacks

open access: yesTransportation Engineering, 2023
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
doaj   +1 more source

Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package

open access: yesJournal of Statistical Software, 2017
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
doaj   +1 more source

PERBANDINGAN ESTIMASI MODEL RESPON KUALITATIF MENGGUNAKAN METODE OLS, GMM DAN MAXIMUM LIKELIHOOD: PADA KASUS PROBABILITAS KEPEMILIKAN MOBIL RUMAH TANGGA DI KELURAHAN PAHLAWAN KOTA PALEMBANG

open access: yesJurnal Ekonomi Pembangunan, 2013
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
doaj   +1 more source

Penalized multinomial mixture logit model [PDF]

open access: yesComputational Statistics, 2009
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
openaire   +2 more sources

Multinomial Logit Models for the Austrian Labor Market

open access: yesAustrian Journal of Statistics, 2016
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
doaj   +1 more source

Specification Tests for the Multinomial Logit Model [PDF]

open access: yesEconometrica, 1984
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
openaire   +2 more sources

Bayesian Disaggregate and Aggregate Calibration of Path Logit Choice Models

open access: yesJournal of Advanced Transportation, 2023
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
doaj   +1 more source

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