Analysis of Discrete Choice Models: A Welfare-Based Framework
Guiyun Feng, Xiaobo Li, Zizhuo Wang

TL;DR
This paper introduces a welfare-based framework for discrete choice models, establishing their connections and differences with existing models, and allowing flexible substitutability and complementarity patterns among alternatives.
Contribution
It proposes a new welfare-based choice model framework, proves its equivalence to existing models, and introduces the concept of substitutability and complementarity in choice modeling.
Findings
Welfare-based choice models are equivalent to representative agent and semi-parametric models.
These models are more general than the random utility model, except when only two alternatives are considered.
The welfare-based framework allows flexible substitutability and complementarity patterns.
Abstract
Based on the observation that many existing discrete choice models admit a welfare function of utilities whose gradient gives the choice probability vector, we propose a new representation of discrete choice model which we call the welfare-based choice model. The welfare-based choice model is meaningful on its own by providing a new way of constructing choice models. More importantly, it provides great analysis convenience for establishing connections among existing choice models. We prove by using convex analysis theory, that the welfare-based choice model is equivalent to the representative agent choice model and the semi-parametric choice model, establishing the equivalence of the latter two. We show that these three models are all strictly more general than the random utility model, while when there are only two alternatives, those four models are equivalent. In particular, we show…
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Taxonomy
TopicsEconomic and Environmental Valuation · Consumer Market Behavior and Pricing · Transportation Planning and Optimization
