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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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The Use of Binary Choice Forests to Model and Estimate Discrete Choice Models
Social Science Research Network, 2019We show the equivalence of discrete choice models and the class of binary choice forests, which are random forests based on binary choice trees. This suggests that standard machine learning techniques based on random forests can serve to estimate ...
Ningyuan Chen, G. Gallego, Zhuodong Tang
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Aggregation biases in discrete choice models
Journal of Choice Modeling, 2019This paper examines the common practice of aggregating choice alternatives within discrete choice models. We carry out a Monte Carlo study based on realistic vehicle choice data for sample sizes ranging from 500–10,000 individuals.
Timothy Wong, D. Brownstone, D. Bunch
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Machine learning or discrete choice models for car ownership demand estimation and prediction?
International Conference on Models and Technologies for Intelligent Transportation Systems, 2017Discrete choice models are widely used to explain transportation behaviors, including a household's decision to own a car. They show how some distinct choice of human behavior or preference influences a decision.
Miguel Paredes +3 more
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A Comparative Empirical Study of Discrete Choice Models in Retail Operations
Management Sciences, 2018Choice-based demand estimation is a fundamental task in retail operations and revenue management, providing necessary input data for inventory control, assortment, and price-optimization models.
Gerardo Berbeglia +2 more
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Overidentification tests for the exogeneity of instruments in discrete choice models
Transportation Research Part B: Methodological, 2018Endogeneity is often present in discrete choice models, precluding the consistent estimation of the model parameters. To correct for this problem, the researcher needs to gather exogenous instrumental variables, which should be independent of the error ...
C. Angelo Guevara
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2010
Choice models attempt to analyze decision marker’s preferences amongst alternatives. We’ll primarily address the binary case to simplify the illustrations though in principle any number of discrete choices can be analyzed. A key is choices are mutually exclusive and exhaustive. This framing exercise impacts the interpretation of the data.
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Choice models attempt to analyze decision marker’s preferences amongst alternatives. We’ll primarily address the binary case to simplify the illustrations though in principle any number of discrete choices can be analyzed. A key is choices are mutually exclusive and exhaustive. This framing exercise impacts the interpretation of the data.
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Deep learning classification: Modeling discrete labor choice
Journal of Economic Dynamics and Control, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Maliar, Lilia, Maliar, Serguei
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Sociological Methods & Research, 1993
Multinomial logit discrete-choice models are now being used more frequently in sociological research, but often without appropriate attention to the central role played by the independence of irrelevant alternatives (IIA) property. In this article, three tests of the IIA property are discussed and then how to apply them is illustrated, using a data ...
JUNSEN ZHANG, SAUL D. HOFFMAN
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Multinomial logit discrete-choice models are now being used more frequently in sociological research, but often without appropriate attention to the central role played by the independence of irrelevant alternatives (IIA) property. In this article, three tests of the IIA property are discussed and then how to apply them is illustrated, using a data ...
JUNSEN ZHANG, SAUL D. HOFFMAN
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Discrete Choice Theory and Modeling
2011This article provides an overview of the methods employed in discrete choice models relevant to food demand analysis. Discrete analysis of food choices can be grouped into two main areas: analysis that focuses on the consumer to assess preferences and welfare, and analysis that focuses on assessing consumer behavior to provide marketing or sales ...
W. L. Adamowicz, Joffre D. Swait
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