Results 261 to 270 of about 1,154,169 (302)
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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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Reverse discrete choice models
Regional Science and Urban Economics, 1999Abstract We derive the cost minimization counterpart to the usual utility maximization version of the multinomial logit (MNL) model. Equivalently, our model considers the reverse of the usual error structure in the maximization problem. The resulting model remains tractable but does not suffer from the IIA property of the MNL.
Simon P. Anderson, André de Palma
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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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Discrete choice models and valuation experiments
Journal of Economic Studies, 2003This paper presents the results of a choice experiment carried out from August to October 2000 on the visitors of the Galleria Borghese Museum, a worldwide known heritage site located in Rome. The main objective of this work is to study the relevancy of choice experiment techniques as a tool aimed at measuring economic values and assessing user ...
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Modeling spatial discrete choice
Regional Science and Urban Economics, 2010Abstract The paper presents a basic spatial discrete choice modeling framework obtained by applying random utility theory to discrete choices made by heterogeneous spatially dependent individuals. The newly developed framework has two main advantages over existing approaches.
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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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Interpreting Discrete Choice Models
2022In discrete choice models the relationships between the independent variables and the choice probabilities are nonlinear, depending on both the value of the particular independent variable being interpreted and the values of the other independent variables.
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A Discrete Choice Model When Context Matters
Journal of Mathematical Psychology, 1999This 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 +1 more
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Applied Discrete-Choice Modelling
2018Originally published in 1981. Discrete-choice modelling is an area of econometrics where significant advances have been made at the research level. This book presents an overview of these advances, explaining the theory underlying the model, and explores its various applications.
Hensher, David A., Johnson, Lester W.
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Discrete choice models with latent choice sets
International Journal of Research in Marketing, 1995Abstract The paper extends discrete choice models by adding an explicit probabilistic representation of the various alternatives considered by the individual in a choice situation. The motivation is to incorporate into a single framework of choice set generation modeling the effects of stochastic constraints or elimination criteria and the influence ...
Moshe Ben-Akiva, Bruno Boccara
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