How do respondents process stated choice experiments? Attribute consideration under varying information load

By David A. Hensher. 2006

471 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Decision Sciences, Marketing

View Paper: https://www.semanticscholar.org/paper/63ea566bab88f3bb97a3476efeb345471236c356

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Citations in the corpus

Should Reference Alternatives in Pivot Design SC Surveys be Treated Differently? (2009, methodology): “Moreover, such transport datasets have been used before to demonstrate these concepts within the environmental economics literature (see for example Greene et al., 2005; Hensher, 2006).”
Stated and inferred attribute non-attendance in a design of designs approach (2014, methodology): “Moreover, accounting for ANA leads to significantly different willingness to pay estimates which may be lower (Hensher, 2006; Campbell et al., 2008; Scarpa et al., 2009) or higher (Hensher et al.”
Information overload in the information age: a review of the literature from business administration, business psychology, and related disciplines with a bibliometric approach and framework development (2018, background): “This category differentiates between four different types of information: Table 6 continued Aspect of information sources Factor influencing information overload Discipline References Source preferences Trust IS Kim and Benbasat (2009), Koroleva and Kane (2016), Xiao and Benbasat (2007) Information ”
Using Conditioning on Observed Choices to Retrieve Individual-Specific Attribute Processing Strategies (2010, background): “…processing strategies play an important role in conditioning the way in which individuals assess attributes associated with choice alternatives offered in a stated choice experiment (see for example Caussade et al., 2005, Hensher 2006a, Hensher et al. 2007, Hensher, 2008 and Scarpa et al., 2008).”
Non-attendance to attributes in environmental choice analysis: a latent class specification (2011, background): “Accumulating empirical evidence in papers by Swait (2001), Cantillo and Ortúzar (2005), Hensher (2006b, 2008), Cantillo et al. (2006), Campbell et al. (2008), Puckett and Hensher (2008), Araña et al. (2008) Hensher and Rose (2009), Scarpa et al. (2009), Greene and Hensher (2010), Hensher and…”
Food miles or carbon emissions? Exploring labelling preference for food transport footprint with a stated choice study (2013, background): “These allow us to account for a frequently adopted decision heuristic with potentially severe consequence on welfare estimation: attribute nonattendance (Hensher 2006; Campbell et al. 2008; Scarpa et al. 2009).”
Attending to the Reasons for Attribute Non-attendance in Choice Experiments (2011, methodology): “Though this has received some attention in the ANA approach (e.g. Hensher 2006), to the authors’ knowledge it remains a largely unexplored area in the SNA approach.”
Asymmetric preference formation in willingness to pay estimates in discrete choice models (2008, background): “- attribute processing strategies under varying Information load, Journal of Applied Econometrics, 21, 861-878 Hensher, D.A. (2006b), Reducing Sign Violation for VTTS Distributions through Recognition of an Individual’s Attribute Processing Strategy, ITLS working paper, Institute of Transport and Lo”
High-speed rail and office location choices. A stated choice experiment for the Netherlands (2011, background): “(However, Hensher, 2006, argues that complexity is part of the natural process of decision-making.)”
Attribute Processing, Heuristics, and Preference Construction in Choice Analysis (2009, background): “Recent research by Hensher (2006, 2008), Greene and Hensher (2008), Layton and Hensher (2008), Hensher and Rose (in press), Hensher and Layton (2008), Hess and Hensher (2008), Puckett and Hensher (2008), Swait (2001), Cantillo et al. (2006), Cameron (2008), Scarpa et al. (2009,2009a), Beharry and…”
Visual Attention and Attribute Attendance in Multi-Attribute Choice Experiments (2015, background): “For example, Hensher (2006) posit that CEs of differing complexity lead to information processing strategies that result in alternative utility functions being used in different experiments.”