2008
DOI: 10.1007/s10640-008-9225-9
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Hurdle and Latent Class Approaches to Serial Non-Participation in Choice Models

Abstract: Choice experiments, Non-participation, Hurdle, Latent class, GM,

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Cited by 40 publications
(20 citation statements)
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“…While the first reason would imply that an observed choice of the opt-out alternative reflects a true preference for this alternative, any of the last three reasons would imply that the choice is biased. In the light of this, and the fact that the OOR treatment in our case actually results in slightly fewer protest zero bidders as well as fewer serial opt-outers, the suspicion of 13 Exclusion is an often used way of dealing with serial opt-outers (Alfnes et al 2006;Burton and Rigby 2009). This approach has been criticized by von Haefen et al (2005) and Lancsar and Louviere (2006) in part for assuming seperability.…”
Section: Response Rates and Respondent Demographicsmentioning
confidence: 72%
See 1 more Smart Citation
“…While the first reason would imply that an observed choice of the opt-out alternative reflects a true preference for this alternative, any of the last three reasons would imply that the choice is biased. In the light of this, and the fact that the OOR treatment in our case actually results in slightly fewer protest zero bidders as well as fewer serial opt-outers, the suspicion of 13 Exclusion is an often used way of dealing with serial opt-outers (Alfnes et al 2006;Burton and Rigby 2009). This approach has been criticized by von Haefen et al (2005) and Lancsar and Louviere (2006) in part for assuming seperability.…”
Section: Response Rates and Respondent Demographicsmentioning
confidence: 72%
“…This approach has been criticized by von Haefen et al (2005) and Lancsar and Louviere (2006) in part for assuming seperability. However, Burton and Rigby (2009) find that accounting for serial opt-outers rather than simply excluding them only leads to minor changes, and they conclude that relatively little is lost in taking the conventional approach in terms of excluding serial opt-outers.…”
Section: Response Rates and Respondent Demographicsmentioning
confidence: 99%
“…This potential confounding may lead to a misinterpretation of the insignificant parameter estimate as non-attendance when it could be related to low or insignificant preferences. A commonly used method in the literature is to impose a parameter restriction to account for non-attendance of an attribute in the latent class model (see for instance Burton and Rigby 2009;Scarpa et al 2009;Campbell et al 2011;Lagarde 2013). To investigate this issue further we re-estimate the latent class models of Table 11 with the parameters for the money and work attributes constrained to be zero for the MAP and WAP models respectively.…”
Section: Latent Class Analysismentioning
confidence: 99%
“…In this paper, we want to explore how citizens value these public goods, the extent to which there is heterogeneity in respondents' preferences for non-market values of farmland, and whether that heterogeneity can be explained by observable characteristics. It is common that preferences for certain goods or services vary across respondents, and the consideration of heterogeneity in individuals' preferences for goods and services is taken as one of the most significant areas of research within choice experiments, as it can generate an unbiased result compared to a constrained version that assumes homogeneity throughout the population [3][4][5].…”
Section: Introductionmentioning
confidence: 99%