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On discrete choice models of housing demand
Journal of Urban Economics, 1988Abstract 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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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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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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Taste Variation in Discrete Choice Models
Review of Economic Studies, 2002zbMATH 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, 1991In 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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The Use of Binary Choice Forests to Model and Estimate Discrete Choice Models
SSRN Electronic Journal, 2019We show the equivalence of discrete choice models and a forest of binary decision trees. This suggests that standard machine learning techniques based on random forests can serve to estimate discrete choice models with an interpretable output: the underlying trees can be viewed as the internal choice process of customers.
Ningyuan Chen +2 more
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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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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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Discrete choice models based on random walks
Operations Research Letters, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Skewness and Fat Tails in Discrete Choice Models
2002In 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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Enhancing discrete choice models with representation learning
Transportation Research Part B: Methodological, 2020Virginie Lurkin, Alexandre Alahí
exaly