2011
DOI: 10.1016/j.jeem.2011.04.004
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Skew and attribute non-attendance within the Bayesian mixed logit model

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Cited by 52 publications
(57 citation statements)
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“…While they might do so for a number of reasons more or less in agreement with the basic assumptions concerning homo economicus (Alemu et al 2013), failing to account for nonattendance could lead to biased welfare measures. While Balcombe et al (2011) find that respondents actually ignore attributes stated to be ignored, Campbell and Lorimer (2009), Hess and Hensher (2010) and Alemu et al (2013), found that respondents do not completely ignore an attribute even though they say so. Contrary to our expectations, our results suggest that this effect is even more pronounced in surveys with real incentives 12 .…”
Section: Parametric Resultsmentioning
confidence: 99%
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“…While they might do so for a number of reasons more or less in agreement with the basic assumptions concerning homo economicus (Alemu et al 2013), failing to account for nonattendance could lead to biased welfare measures. While Balcombe et al (2011) find that respondents actually ignore attributes stated to be ignored, Campbell and Lorimer (2009), Hess and Hensher (2010) and Alemu et al (2013), found that respondents do not completely ignore an attribute even though they say so. Contrary to our expectations, our results suggest that this effect is even more pronounced in surveys with real incentives 12 .…”
Section: Parametric Resultsmentioning
confidence: 99%
“…where respondents ignore one or more attributes of the alternatives when making their choices (e.g. Alemu et al (2013), Balcombe et al (2011), Hole et al (2012), Hensher et al (2005), Campbell et al (2008), Hensher and Rose (2009) and Hensher (2010)). As examples of the extension of this behavior, Balcombe et al (2011) find full attribute attendance by just above 70% of the sample while Hensher and Rose (2009) report that only 55% of the sample attended all attributes.…”
Section: Introductionmentioning
confidence: 99%
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“…The first approach, which is called stated ANA, is the use of follow-up questions asking respondents to state which attributes they attended to (or ignored) when deciding on their preferred options (Hensher et al, 2005;Campbell et al, 2008;Carlsson et al, 2010;Scarpa et al, 2010;Balcombe et al, 2011). a weight to the attribute parameters, since ANA will affect the estimated attribute parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Stated ANA responses could be used to determine the weighted parameters via interactions between the ignored attributes and dummy variables representing the stated ANA (Carlsson et al, 2010;Balcombe et al, 2011).…”
Section: Introductionmentioning
confidence: 99%