The Construction of Optimal Stated Choice Experiments: Theory and Methods

By A. Dean. 2008

185 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/91278132dc1b4548be0f80ab490903f7af381c54

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In Economics and Econometrics

Citations in the corpus

Conducting Discrete Choice Experiments to Inform Healthcare Decision Making (2012, background): “This decisions about these factors should be based on is not only an inefficient way to construct DCEs,[61] realistically simulating the market of interest (i.”
Bayesian optimal designs for discrete choice experiments with partial profiles (2011, background): “…approach, some researchers have transformed the design problem for the MNL model (4), which is in essence nonlinear, into a linear one by creating locally optimal designs assuming β = 0k, where 0k is a k-dimensional vector of zeroes (see, e.g., Street and Burgess 2007; Grossmann et al. 2009).”
Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force. (2013, methodology): “Street and Burgess [16] noted that a number of designs used in studies found in the health care literature had identification”
Are consumers willing to pay more for electricity from cooperatives? Results from an online Choice Experiment in Germany (2014, methodology): “Various methods (Rose and Bliemer 2008; Street and Burgess 2007; Street et al. 2005) can be applied to reduce the number of possible combinations.”
Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture (2009, methodology): “…et al., 2000) was used to vary attributes and levels, creating eighteen initial profiles that were used to generate additional choice options to form the choice cards, following the approach proposed by Street et al. (2005) (see also Street and Burgess, 2007, and Ferrini and Scarpa, 2007 ).”
The design of agri-environmental schemes: Farmers’ preferences in southern Spain (2015, methodology): “To create a more manageable number of options, the methodological approach of fractional factorial design and optimal orthogonal in the differences proposed by Street and Burgess (2007) was used, resulting in 192 profiles and a D-efficiency of 91.3%.”