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Specification Tests for the Multinomial Logit Model [PDF]
Econometrica, 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, McFadden, Daniel
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Learning to Rank under Multinomial Logit Choice [PDF]
J. Mach. Learn. Res., 2020 updated with new material including regret bound for unknown position bias ...
James A. Grant, David S. Leslie
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General Deep Multinomial Logit Model
Computing and Informatics, 2022 Multinomial logit model (MNL) is by far the most widely used discrete choice model that is widely used to explain or predict a choice from a set of two or more discrete alternatives. MNL operates within a framework of the random utility model (RUM) in which the utility of an alternative perceived by an individual consists of two components: systematic ...
Su, Peng, Liu, Yuan, Zhao, Lingyun
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Application of Discrete Choice Models for Exploring Traveller’s Behaviour at Egyptian Transport Network [PDF]
Port Said Engineering Research Journal, 2018 Mode choice models generally form a critical part of the analysis of the travel demand of any study area in any country and have played an important role in transport modelling over the last decades.
Ahmed Semeida
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Migration and job change: A multinomial logit approach [PDF]
Journal of Urban Economics, 1983 A multinomial logit model of residence and job change is developed and estimated using U.S. data from the Michigan Panel Study of Income Dynamics. It is found that both housing demand and job search characteristics are significant determinants of the decision to migrate and that both equilibrium and disequilibrium forces induce migration and job ...
Linneman, Peter D., Graves, Philip E.
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Multinomial Logit Models for the Austrian Labor Market
Austrian 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
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PEMBELAJARAN MESIN UNTUK MENILAI KELAYAKAN KREDIT PROYEK RETROFIT: MULTINOMIAL LOGIT
Akuntansi dan Teknologi Informasi, 2022 Creditworthiness assessment was one of the first areas to apply machine learning techniques in economics. The creditworthiness of retrofit protection was vital for ESCO in determining the credit scoring.
Eka Sudarmaji +2 more
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Multinomial logit models with implicit variable selection [PDF]
Advances in Data Analysis and Classification, 2013 Multinomial logit models which are most commonly used for the modeling of unordered multi-category responses are typically restricted to the use of few predictors. In the high-dimensional case maximum likelihood estimates frequently do not exist. In this paper we are developing a boosting technique called multinomBoost that performs variable selection ...
Faisal Maqbool Zahid, Gerhard Tutz 0001
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Modeling enterprise location choice decision behavior
Journal 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
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Testing the Multinomial Logit Model [PDF]
, 2000 A general test to check the adequateness of a regression model against nonparametric alternatives is presented. This test procedure is then applied to the well known multinomial logit model and its power is considered in a simulation study. Finally, the multinomial logit model is tested for a real scanner panel data set.
Bartels, K. +4 more
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