Quick and easy choice sets: Constructing optimal and nearly optimal stated choice experiments
By Deborah J. Street, Leonie Burgess, Jordan J. Louviere. 2005
576 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Decision Sciences, Marketing
View Paper: https://www.semanticscholar.org/paper/89e0a452a76715aa9f52518981460f21ad22b5e7
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
- Riccardo Scarpa
- Michiel C. J. Bliemer
- N. Hanley
- Stephane Hess
- David A. Hensher
- Emily Lancsar
- David Hoyos
In General Decision Sciences
- John M. Rose
- Michiel C. J. Bliemer
- Riccardo Scarpa
- N. Hanley
- David Hoyos
- Emily Lancsar
- David A. Hensher
- L. Persson
In Marketing
- John M. Rose
- Michiel C. J. Bliemer
- N. Hanley
- Riccardo Scarpa
- David Hoyos
- S. Colombo
- Jordan J. Louviere
- Silvia Ferrini
Citations in the corpus
- Conducting Discrete Choice Experiments to Inform Healthcare Decision Making (2012, background): “Street et al.[60] noted that many designs blocked into different versions, with respondents in the literature on DCEs exhibit identification probrandomly assigned to versions.”
- How to do (or not to do) ... Designing a discrete choice experiment for application in a low-income country. (2009, methodology): “the strategy employed in designing the choice sets (Street et al. 2005).”
- 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 state of the art of environmental valuation with discrete choice experiments (2010, background): “The D-error has become the most widely used measure of efficiency because of its insensitivity to the magnitude of the scale of the parameters (Street et al., 2005).”
- Construction of experimental designs for mixed logit models allowing for correlation across choice observations (2010, methodology): “…ML model sample sizes are more similar, although the latter one needs a higher sample size again due to the harder to estimate standard deviation .σ Table 2 also contains a fourth design, that being an ‘optimal’ orthogonal design generated using the principles outlined by Street et al. (2005).”
- Constructing Efficient Stated Choice Experimental Designs (2009, methodology): “The design shown in Table 9 represents a difference in the attributes design generated using the principles outlined in Street et al. (2005).”
- Contract farming configuration: Smallholders’ preferences for contract design attributes (2013, unknown): “How well a discrete choice experiment performs partly depends on the options used in the choice experiment, and how the options are grouped into choice sets (Street et al., 2005).”