Discrete choice models with latent choice sets

Ben‐Akiva, Moshe; Boccara, Bruno

doi:10.1016/0167-8116(95)00002-j

Cited by 306 publications

(119 citation statements)

References 18 publications

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“…One appealing possibility is that the default representation serves the function of proposing actual candidate actions during decision making-in other words, it helps us to construct a choice set (35). It is natural to suppose that screening out immoral or irrational actions from one's own decision making would tend to be adaptive.…”

Section: Study 3: Default Modal Representations In High-level Cognitionmentioning

confidence: 99%

Morality constrains the default representation of what is possible

Phillips

Cushman

2017

Proc. Natl. Acad. Sci. U.S.A.

123

159

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The capacity for representing and reasoning over sets of possibilities, or modal cognition, supports diverse kinds of high-level judgments: causal reasoning, moral judgment, language comprehension, and more. Prior research on modal cognition asks how humans explicitly and deliberatively reason about what is possible but has not investigated whether or how people have a default, implicit representation of which events are possible. We present three studies that characterize the role of implicit representations of possibility in cognition. Collectively, these studies differentiate explicit reasoning about possibilities from default implicit representations, demonstrate that human adults often default to treating immoral and irrational events as impossible, and provide a case study of high-level cognitive judgments relying on default implicit representations of possibility rather than explicit deliberation.modality | high-level cognition | morality | norms | possibility

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Section: Study 3: Default Modal Representations In High-level Cognitionmentioning

confidence: 99%

Morality constrains the default representation of what is possible

Phillips

Cushman

2017

Proc. Natl. Acad. Sci. U.S.A.

123

159

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“…According to McFadden, transport services and infrastructures users assign weights to different attributes of road pricing scheme characterizing each of the choices and select the one that maximizes their utility (Ben-Akiva and Boccara, 1995). In general, choice model considers the problem of acceptability analysis in an experimental way by using discrete choice modeling (Train, 2003).…”

Section: Modeling Acceptability With Latent Variablesmentioning

confidence: 99%

Improving the analysis of road pricing acceptability surveys by using hybrid models

Ciommo

Monzón

Fernández-Heredia

2013

Transportation Research Part A: Policy and Practice

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Several international studies have analyzed the acceptability of road pricing schemes by means of an attitude survey in combination with the results of a stated choice experiment using both a descriptive analysis and a discrete-choice model with binary choice ("accept" or "not accept" the toll). However, the use of hybrid discrete choice models constitutes an innovative alternative for integrating subjective attitudes and perceptions deriving from the survey of attitudes with the more objective variables from the stated choice experiment. This paper analyzes the results of applying these models to measure the acceptability of interurban road pricing among different groups of stakeholders (road freight and passenger operators, highway concessionaires, and associations of private car users) with qualitatively significant opinions on road pricing measures. Our results show that hybrid models are better suited to explaining the acceptability of a road pricing scheme by different groups of stakeholders than a separate analysis of the survey of attitudes and a discrete-choice model applied on a stated choice experiment. A particular finding was that the strong psycho-social latent variable of the perception of fairness explains the rejection or acceptance of a toll scheme by road stakeholders.

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“…Due to the fact that consumers normally have multiple options for satisfying their individual needs, it seems justified to assume the relation given by (2). Assumption (3) refers to the motivations given in connection with the increasing popularity of web-based product configuration systems in Section 1.…”

Section: Preference Measurement By Means Of a Poisson Regression Modelmentioning

confidence: 99%

“…Therefore, various two-stage approaches have been proposed that aim to identify the consumer's consideration set before applying a discrete choice model (see, e.g., [2], [38]). These two-stage approaches have been proven successful in capturing non-compensatory behavior in decision problems including small numbers of alternatives, but they suffer from the combinatorial complexity arising from the latent nature of the consideration set formation process [2]. This hampers the application of these models to purchase situations where hundreds, or even thousands, of different product alternatives are available.…”

Section: Preference Measurement Using Purchase Datamentioning

confidence: 99%

Preference Analysis and Default Optimization in Web-based Product Configuration Systems

Decker

Scholz

2009

J. theor. appl. electron. commer. res.

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Today, more and more companies are providing web-based product configuration systems in order to better meet individual customer preferences. In many cases, pre-defined product specifications are additionally offered to facilitate the corresponding choice decisions. Against this background, we present a Poisson regression approach for analyzing customer preferences and a genetic algorithm for determining preferencebased default products. The basis for this is transaction data, as they are automatically generated when configuring a product online. The potentials of the suggested methodology are demonstrated by means of two case studies referring to different product categories.

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Discrete choice models with latent choice sets

Cited by 306 publications

References 18 publications

Morality constrains the default representation of what is possible

Morality constrains the default representation of what is possible

Improving the analysis of road pricing acceptability surveys by using hybrid models

Preference Analysis and Default Optimization in Web-based Product Configuration Systems

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