Heterogeneous Conjoint Choice Designs

By Zsolt Sándor, M. Wedel. 2005

220 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f4b2ad2c334398e1b16f961fb313e4fffa186738

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Citations in the corpus

Constructing Efficient Stated Choice Experimental Designs (2009, background): “Although we have provided only a single case study here, these results have been replicated elsewhere (e.g. Huber and Zwerina, 1996; Sándor and Wedel, 2001, 2002, 2005; Carlsson and Martinsson, 2002; Kanninen, 2002; Bliemer and Rose, 2006; Kessels et al., 2006; Ferrini and Scarpa, 2007).”
Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China (2015, methodology): “randomized for each respondent, which has been shown to increase efficiency for mixed logit models (Sandor and Wedel, 2005) and may compensate for any”
Efficient stated choice experiments for estimating nested logit models (2009, methodology): “To date, most research on efficient designs have assumed an MNL model form (see Ferrini and Scarpa, 2007 and Sándor and Wedel, 2002, 2005 for the sole exceptions).”
Location of logistics companies : a stated preference study to disentangle the impact of accessibility (2015, background): “As pointed out by Sándor & Wedel (2005), using 40 instead of 20 different choice situations results in a larger amount of information on the respondents’ preferences and therefore in more precise estimates of the relative importances of the attributes and attribute levels as well as better…”
Construction of experimental designs for mixed logit models allowing for correlation across choice observations (2010, methodology): “With the exceptions of Bliemer et al. (2007), Ferrini and Scarpa (2007), and Sándor and Wedel (2002, 2005), research into the generation of SC experiments have largely assumed that data collected using the design will be limited in analysis to the use of the simple MNL model.”
Experimental design influences on stated choice outputs: An empirical study in air travel choice (2009, background): “…but not limited to work undertaken by Bliemer et al. (2009), Burgess and Street (2003), Ferrini and Scarpa (2006), Kanninen (2002), Kessels et al. (2006), Sándor and Wedel (2001, 2002, 2005), Rose and Bliemer (2008), Scarpa and Rose (2008), Street and Burgess (2004) and Toner et al. (1999).”
Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why* (2008, unknown): “In terms of assumptions our research is therefore more akin to research efforts by Sándor and Wedel (2001, 2002, 2005), Bliemer and Rose (2005), Bliemer et al .”
Beyond conjoint analysis: Advances in preference measurement (2008, methodology): “This approach has a long history, starting with the Linmap method of Srinivasan and Shocker (1973a, b). More recently, Toubia et al. (2003) and Toubia et al.”
Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force. (2013, methodology): “Analogously to Sándor and Wedel’s incorporation of Bayesian uncertainty about parameter distributions, Bliemer et al. [30] introduced a method to account for uncertainty as to what kind of model will be estimated once data have been collected.”
Approximation of bayesian efficiency in experimental choice designs (2008, unknown): “More recently however, some researchers have begun to question the relevance of orthogonal designs when applied to SC experiments (e.g., Huber and Zwerina 1996; Kanninen 2002; Kessels et al. 2006; Sándor and Wedel 2001, 2002, 2005; Bliemer and Rose 2008; Rose et al. 2008; Bliemer et al. in press).”