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- W2126510852 abstract "Unlike other areas of econometric analysis, the sensitivity of outliers is rarely assessed or even explored in stated choice analysis, despite calls to do so (e.g., in Ben-Akiva and Lerman, 1985). In this paper, we focus mainly on a specic type of outlier, namely respondents with extreme sensitivities. We show that the presence of only a handful of such respondents can be responsible for a large part of the heterogeneity retrieved by using a single sample population distribution for sensitivities. We propose the use of dierent modelling approaches in this context, and show that directly accommodating very low and high taste intensities leads to signicant improvements in model performance. Additionally, we nd that accounting for outliers may lead to signicant reductions in the ‘residual’ random heterogeneity. Our ndings reinforce the importance of testing for the presence of outliers and that this should be part of standard practice in choice modelling." @default.
- W2126510852 created "2016-06-24" @default.
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- W2126510852 date "2009-01-01" @default.
- W2126510852 modified "2023-09-26" @default.
- W2126510852 title "Outlying Sensitivities in Discrete Choice Data: Causes, Consequences and Remedies" @default.
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