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DISCRETE CHOICE MODELS WITH MULTIPLE UNOBSERVED CHOICE CHARACTERISTICS* [PDF]

International Economic Review, 2007
Since the pioneering work by Daniel McFadden, utility‐maximization‐based multinomial response models have become important tools of empirical researchers. Various generalizations of these models have been developed to allow for unobserved heterogeneity in taste parameters and choice characteristics.
Susan Athey, Guido Imbens
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Taste Variation in Discrete Choice Models

Review of Economic Studies, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chesher, Andrew, Santos Silva, Joao M C
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Modeling the Choice of Choice Set in Discrete-Choice Random-Utility Models

Environment and Planning A: Economy and Space, 1991
In conventional random-utility models, such as the multinomial logit model, it is assumed that a decisionmaker's choice set is independent of his or her preferences conditional on the explanatory variables of the models. However, there are many situations in which the decisionmaker chooses the choice set, thereby making the independence assumption ...
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On discrete choice models of housing demand

Journal of Urban Economics, 1988
Abstract This paper explores several specifications of discrete choice models in estimating housing consumption for purposes of projection and policy simulation. We view housing consumption comprehensively as it includes the choice between three types of homeownership, five types of rented housing, and, as a ninth alternative, not heading a household.
Börsch-Supan, Axel, Pitkin, John
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Discrete Choice Models

1987
These are those statistical models which specify the probability distribution of discrete dependent variables as a function of independent variables and unknown parameters. They are sometimes called qualitative response models, and are relevant in economics because the decision of an economic unit frequently involves discrete choice: for example, the ...
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A Discrete Choice Model When Context Matters

Journal of Mathematical Psychology, 1999
This paper contributes to the description of the choice behavior of an individual who, as a result of capacity limitations, is unable to deal with a large number of alternatives and who is also unsure about his most preferred alternative in any given set.
Billot, Antoine, Thisse, Jacques-François   +1 more
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Discrete-Choice-Modelle

2007
Bei einer Vielzahl von praktischen Problemstellungen stehen das Verstandnis und die Modellierung von Wahlverhalten im Vordergrund. Beispielsweise sind Unternehmen daran interessiert, das Markenwahlverhalten ihrer Konsumenten besser zu verstehen und gegebenenfalls zu prognostizieren.
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Skewness and Fat Tails in Discrete Choice Models

2002
In discrete choice models, the probability that the dependent variable will assume value 0 or 1 depends on a set of explanatory variables through a function F. In this paper we propose the class of skew Student t distribution as a function F in order to have a more flexible model that can simultaneously account for asymmetry and thick tails and such ...
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Assisted Specification of Discrete Choice Models

2020
Determining appropriate utility specifications for discrete choice models is time-consuming and prone to errors. As the number of possible functions exponentially grows with the variables under consideration, analysts need to spend increasing amounts of time on searching for good specifications through trial-and-error and expert knowledge.
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A systematic comparative evaluation of machine learning classifiers and discrete choice models for travel mode choice in the presence of response heterogeneity

Expert Systems With Applications, 2022
Juan Antonio Carrasco, Patricio Salas, Sebastian Astroza   +2 more
exaly