scholarly journals Software

2020 ◽  
pp. 125-129
Author(s):  
Petr Mariel ◽  
David Hoyos ◽  
Jürgen Meyerhoff ◽  
Mikolaj Czajkowski ◽  
Thijs Dekker ◽  
...  
Keyword(s):  
Operating System ◽  
Open Source ◽  
Discrete Choice ◽  
Choice Models ◽  
Discrete Choice Models ◽  
Software Packages

AbstractThis chapter describes and compares suitable software for the analysis of basic and advanced discrete choice models. Software packages are classified into proprietary and non-proprietary, according to the operating system required and modelling capabilities. Abilities of both selected commercial (Stata, SAS and Latent Gold, e.g.) and open-source packages (Biogeme and R-libraries) are considered. Finally, some user-written estimation packages for Gauss, Matlab, R and Stata are presented.

Theoretical, methodological and practical issues of choice models

2018 ◽  
Vol 1 (1) ◽  
pp. 21-37
Author(s):  
Bharat P. Bhatta
Keyword(s):  
Discrete Choice ◽  
Model Building ◽  
Estimation Method ◽  
Choice Models ◽  
Discrete Choice Models ◽  
Decision Makers ◽  
Model Formulation ◽  
Random Utility Maximization ◽  
The Relationship ◽  
Method Model

This paper analyzes and synthesizes the fundamentals of discrete choice models. This paper alsodiscusses the basic concept and theory underlying the econometrics of discrete choice, specific choicemodels, estimation method, model building and tests, and applications of discrete choice models. Thiswork highlights the relationship between economic theory and discrete choice models: how economictheory contributes to choice modeling and vice versa. Keywords: Discrete choice models; Random utility maximization; Decision makers; Utility function;Model formulation

BLP-Lasso for Aggregate Discrete Choice Models of Elections with Rich Demographic Covariates

2015 ◽  
Author(s):  
Benjamin J. Gillen ◽  
Sergio Montero ◽  
Hyungsik Roger Moon ◽  
Matthew Shum
Keyword(s):  
Discrete Choice ◽  
Choice Models ◽  
Discrete Choice Models ◽  
Demographic Covariates
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