Results 21 to 30 of about 1,913,123 (347)
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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The effect of online reviews on addressing endogeneity in discrete choice models
This paper investigates the effectiveness of online reviews on addressing price endogeneity issue in an application to consumer demand for smartphone.
Xinlong Tan, Yuming Xiao
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Social Networks and Choice Set Formation in Discrete Choice Models
The discrete choice literature has evolved from the analysis of a choice of a single item from a fixed choice set to the incorporation of a vast array of more complex representations of preferences and choice set formation processes into choice models ...
Bruno Wichmann +2 more
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This paper proposes an empirical analysis of the sensitivity of Discrete Choice Model (DCM) to the size of the spatial units used as choice set (which relates to the well-known Modifiable Areal Unit Problem ...
Jonathan Jones +2 more
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Identification of effective personal factors in attracting customers to shopping centers– case of Tehran [PDF]
In the recent decade, applications of discrete choice models have increased. Destination choice models are coupled with several challenges including large choice sets, complicated alternative specific attributes and the endogeneity problem.
Amir Reza Mamdohi +3 more
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Simulation error in maximum likelihood estimation of discrete choice models
Maximum simulated likelihood is the preferred estimator of most researchers who deal with discrete choice. It allows estimation of models such as mixed multinomial logit (MXL), generalized multinomial logit, or hybrid choice models, which have now become
M. Czajkowski, Wiktor Budziński
semanticscholar +1 more source
Model Adequacy Checks for Discrete Choice Dynamic Models [PDF]
This paper proposes new parametric model adequacy tests for possibly nonlinear and nonstationary time series models with noncontinuous data distribution, which is often the case in applied work.
Kheifets, Igor, Velasco, Carlos
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Generally, modeling poverty aims to obtain the best criteria for assessing poverty status. There are two approaches to model the factors that affect poverty, namely consumption approach and discrete choice model.
Pardomuan Robinson Sihombing +2 more
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A tutorial on recursive models for analyzing and predicting path choice behavior
The problem at the heart of this tutorial consists in modeling the path choice behavior of network users. This problem has been extensively studied in transportation science, where it is known as the route choice problem. In this literature, individuals'
Frejinger, Emma, Zimmermann, Maëlle
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New Model of Random Regret Minimization
A new choice model is derived, rooted in the framework of Random Regret Minimization (RRM). The proposed model postulates that when choosing, people anticipate and aim to minimize regret.
Caspar G. Chorus
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