Will the alphabet soup of design criteria affect discrete choice experiment results?
比较四种统计设计对离散选择实验结果的影响，发现高效设计在统计效率上表现良好，但支付意愿估计值存在显著差异，表明结果并非与设计无关。
Every discrete choice experiment needs one, but the impacts of a statistical design on the results are still not well understood. Comparative studies have found that efficient designs outperform especially orthogonal designs. What has been little studied is whether efficient designs come at a cost. Thus, we compare four designs with respect to their effect on outcomes, especially willingness to pay (WTP) estimates and predicted market shares. Regarding statistical efficiency all designs perform rather well but the WTP estimates differ significantly on several occasions. This indicates that results are not neutral to the design, even when a high number of observations are available.