Optimal designs for choice experiments with asymmetric attributes

By Leonie Burgess, Deborah J. Street. 2005

181 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/7c895f346bdf4b70d279037bcb23412850d69f0b

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Citations in the corpus

Estimation on stated-preference experiments constructed from revealed-preference choices (2008, background): “Burgess and Street (2005) and Rose (2005), e.g., describe efficient designs for standard sp experiments, and Rose et al. (2005) describe efficient design of pivoted sp experiments.”
Experimental design influences on stated choice outputs: An empirical study in air travel choice (2009, background): “(2009), Burgess and Street (2003), Ferrini and Scarpa (2006), Kanninen (2002), Kessels et al.”
Households’ Willingness to Pay for Water Service Attributes (2005, unknown): “5. The analysis of Burgess and Street (2004b) provides a framework that can perhaps be used to derive the optimal designs for estimation of structural relations among levels, even though this task is not explicitly addressed.”
Modeling the choices of individual decision-makers by combining efficient choice experiment designs with extra preference information (2008, methodology): “The designs developed by Burgess and Street (2003, 2005) and Street and Burgess (2004a,b, 2007) allow one to construct optimal or nearly optimal designs for generic DCEs, which in turn allow one to estimate generic CLMs of the general form shown in equation (5).”
A Comparison of Criteria to Design Efficient Choice Experiments (2006, background): “Finally, Burgess and Street (2003) derive D-optimal choice designs for two-level attributes of any choice set size and extend these results in Burgess and Street (2005) to apply to attributes with any number of levels.”
Valuing biodiversity enhancement in New Zealand's planted forests: Socioeconomic and spatial determinants of willingness-to-pay (2014, background): “Several design criteria have been developed (Burgess and Street, 2005; Scarpa and Rose, 2008).”
Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study (2007, background): “Recent work by Burgess and Street has tackled the issue of construction of more general designs, such as [67,14,68,15,70] but they are limited to the case of b 1⁄4 0.”
Constructing Efficient Stated Choice Experimental Designs (2009, background): “As well as maintaining orthogonality, these researchers suggest that SC experiments should be constructed such that attributes common across alternatives should never take the same level over the experiment (see, e.g. Street et al., 2001, 2005; Street and Burgess, 2004; Burgess and Street, 2005).”
How to do (or not to do) ... Designing a discrete choice experiment for application in a low-income country. (2009, background): “In comparison with standard techniques, which estimate WTP for the good or service as a whole, this more detailed information on WTP by attribute may be useful, though some evidence suggests that the levels of the cost attribute can affect the estimates (Radcliffe 2000; Drummond et al. 2005).”
Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why* (2008, unknown): “Because of these radically different starting assumptions our work is to be located in the second paradigm and cannot be compared to similar research carried out within the limited framework of probability balanced designs, that are predicated on researchers’ total ignorance of the values of taste i”