Results 31 to 40 of about 21,980,265 (388)
DISCRETE MULTIVARIATE ANALYSIS USING LOG - LINEAR MODELS
a procedure is definid for obtaining maximun likelihood estimates for the parameters of a family of log - linear models which includes the general log - linear model, logit models, multinominal logit models, and association models as well as models for ...
Robert J. Flowers
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Optimal model averaging estimator for multinomial logit models
In this paper, we study optimal model averaging estimators of regression coefficients in a multinomial logit model, which is commonly used in many scientific fields.
Rongjie Jiang, Liming Wang, Yang Bai
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Testing the Multinomial Logit Model [PDF]
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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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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Synthetic Minority Oversampling Technique Pada Model Logit dan Probit Status Pengangguran Terdidik
Educated unemployment is caused by a misalignment of educational development planning and employment development, resulting in underemployed graduates from various educational institutions.
Fatimah Fatimah +4 more
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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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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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Mixed logit and fully recursive logit models [PDF]
Abstract Mixed logit model has been proposed for modelling simultaneous effects of qualitative and continuous response in the econometrics literatures. However, we point out that the concept of simultaneity does not apply in that model. It is an equivalent representation of a fully recursive logit model.
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Predicting U.S. Bank Failures with MIDAS Logit Models
We propose a new approach based on a generalization of the logit model to improve prediction accuracy in U.S. bank failures. Mixed-data sampling (MIDAS) is introduced in the context of a logistic regression.
F. Audrino, A. Kostrov, J. Ortega
semanticscholar +1 more source
This letter deals with a very simple question: if we have grouped data with a binary-dependent variable and want to include fixed effects in the specification, can we meaningfully compare results using a linear model to those estimated with a logit?
Nathaniel L. Beck
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