Optimal Design for Multinomial Choice Experiments
By B. Kanninen. 2002
350 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Food Science, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/89e46966465ca33db6b03f62a16fa0c40d959d6d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- John M. Rose
- David A. Hensher
- Riccardo Scarpa
- Stephane Hess
- Michiel C. J. Bliemer
- Jordan J. Louviere
- D. Campbell
- S. B. Olsen
In Food Science
- John M. Rose
- Michiel C. J. Bliemer
- David A. Hensher
- William H. Greene
- Riccardo Scarpa
- D. Campbell
- Shlomo Angel
- Daniel L. Civco
In Management Science and Operations Research
- Jordan J. Louviere
- John M. Rose
- Michiel C. J. Bliemer
- David A. Hensher
- Riccardo Scarpa
- A. A. J. Marley
- Towhidul Islam
- Emily Lancsar
Citations in the corpus
- Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force. (2013, methodology): “By using the same general methodological framework used by Sándor and Wedel [42,43,55], Street and Burgess [16], Kanninen [22], Bliemer and Rose [29,44], and Bliemer et al.”
- Experimental design influences on stated choice outputs: An empirical study in air travel choice (2009, background): “Overall, we were unable to substantiate the findings of Louviere et al. (2008) in terms of efficient designs tend to induce greater error variance, although we have also conjectured here that that might indeed be the case.”
- Construction of experimental designs for mixed logit models allowing for correlation across choice observations (2010, methodology): “Several researchers have already addressed the issue of how to construct experimental designs that display favorable statistical properties (e.g., Bliemer and Rose, 2006; Bliemer et al., 2007; Carlsson and Martinsson, 2002; Ferrini and Scarpa, 2007; Huber and Zwerina, 1996; Kanninen, 2002; Kessels e”
- Modeling the choices of individual decision-makers by combining efficient choice experiment designs with extra preference information (2008, background): “(1993) noted that four choice options and eight attributes were typical of surveys that implement the types of discrete choice experiments (DCEs) proposed by Louviere and Woodworth (1983). It is fair to say that most researchers believe that a) one would need to observe many choice sets for each per”
- Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why* (2008, neutral): “As a matter of fact, we and many others (e.g. Sándor and Wedel 2001, 2002, 2005; Bliemer and Rose 2005; Bliemer et al . in press; Ferrini and Scarpa 2007 and Kanninen 2002; Kessels et al .”
- Conjoint analysis applications in health--a checklist: a report of the ISPOR Good Research Practices for Conjoint Analysis Task Force. (2011, background): “Researchers have offered several alternative approaches for conjoint studies, including D-optimal and near-D-optimal designs [45] [46], utility-imbalanced designs [47], cyclical designs [48], and random designs [49].”
- Efficient stated choice experiments for estimating nested logit models (2009, methodology): “…a small but growing number of researchers have called into question this practice (e.g., Bliemer and Rose, 2006; Carlsson and Martinsson, 2003; Ferrini and Scarpa, 2007; Huber and Zwerina, 1996; Kanninen, 2002; Kessels et al., 2006; Sándor and Wedel, 2001, 2002, 2005; Rose and Bliemer, 2006).”
- Working Paper: The Fragmentation of Cities and its Decline: Global Evidence of Sprawl, 1990-2000 (2009, positive): “Recent new and innovative methods have been developed to allocate the attribute levels to the design matrix that do not rely on orthogonality as a design principle (see e.g., Bliemer and Rose 2006; Carlsson and Martinsson 2002; Ferrini and Scarpa 2007; Huber and Zwerina 1996; Kanninen 2002; Kessels ”
- Non-attendance and dual processing of common-metric attributes in choice analysis: a latent class specification (2010, methodology): “A stated choice (SC) experiment was designed using principles of statistically efficient designs ( Kanninen (2002) , Sandor and Wedel (2002), Rose and Bliemer (2007), and Kessel et al. (2006) provide overviews of such design methods).”
- Estimating the willingness-to-pay and value of risk reduction for car occupants in the road environment (2009, methodology): “In order to calculate the statistical efficiency of a design, Bunch, et al. (1994), Huber and Zwerina (1996), Sandor and Wedel (2001) and Kanninen (2002) , amongst others, have shown that the common use of logit models to analyze discrete choice data requires a priori information about the paramete”
- Consumer social responses to CSR initiatives versus corporate abilities (2013, background): “Researchers can also estimate the marginal rate of substitution, or trade-offs, respondents are willing to make between any two attributes, which are financial indicators of WTP (Kanninen, 2002).”