2014
DOI: 10.1016/j.jocm.2015.01.001
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Statistical properties of consideration sets

Abstract: Jel classification: D1 M31 C35 Keywords:Multi-stage choice models Sample selection bias a b s t r a c tThe concept of a consideration set has become a central concept in the study of consumer behavior. This paper shows that the common practice of estimating models using only the set of alternatives deemed to be in the set considered by a consumer will usually result in estimated parameters that are biased due to a sample selection effect. This effect is generic to many consideration set models and can be large… Show more

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Cited by 10 publications
(7 citation statements)
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References 62 publications
(67 reference statements)
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“…For instance, due to the exclusion of non‐considered alternatives, variation in the design matrix was drastically reduced, which leads to increased confidence intervals for parameter estimates. Moreover, commonly used goodness‐of‐fit statistics like McFadden's pseudo R 2 (McFadden ) will tend to be biased downwards as ‘a fully parameterized model almost always will be better at predicting that options outside the consideration sets have lower probabilities of being chosen relative to options in consideration sets’ (Carson & Louviere ).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…For instance, due to the exclusion of non‐considered alternatives, variation in the design matrix was drastically reduced, which leads to increased confidence intervals for parameter estimates. Moreover, commonly used goodness‐of‐fit statistics like McFadden's pseudo R 2 (McFadden ) will tend to be biased downwards as ‘a fully parameterized model almost always will be better at predicting that options outside the consideration sets have lower probabilities of being chosen relative to options in consideration sets’ (Carson & Louviere ).…”
Section: Resultsmentioning
confidence: 99%
“… For a more extensive discussion of the statistical properties of consideration sets, see Carson and Louviere ().…”
mentioning
confidence: 99%
“…Because of the potential problems identified by Horowitz and Louviere () and Carson and Louviere () we do not advise conditioning on these consideration sets in estimating models of recommendations. Instead, we follow the argument of Horowitz and Louviere () that a consideration set is simply a reflection of the underlying preferences.…”
Section: Econometric Frameworkmentioning
confidence: 99%
“…That approach would involve modelling our recommendations data using standard choice modelling techniques assuming that the particular products initially chosen by the GP form the consideration sets; see for example Roberts and Lattin (). Carson and Louviere () are warranted in their criticism of such an approach. There is a real threat to econometric analysis because it was the doctors who indicated which products should form the choice set and hence the assumption of exogeneity required by standard choice modelling is potentially problematic.…”
Section: Introductionmentioning
confidence: 99%
“…2 To accommodate the size of the destination space and to account for heterogeneous individuals, I apply a conditional logit model for heterogeneous agents. This model might be susceptible to varying definitions of the underlying choice set (Hicks and Strand 2000;Carson and Louviere 2014), and thus to the level of available information on the choice process itself. Therefore, one aspect of my empirical analysis is to integrate information on considered alternatives during the university application process.…”
Section: Introductionmentioning
confidence: 99%