A Cautionary Note on Designing Discrete Choice Experiments: A Comment on Lusk and Norwood's “Effect of Experiment Design on Choice‐Based Conjoint Valuation Estimates”
评论了Lusk和Norwood关于离散选择实验设计的研究，指出其结论（常用设计无偏、随机设计更有效）仅适用于特定间接效用函数，不能推广，且随机设计的结论对应用研究者有潜在风险。
Abstract Recent Monte Carlo work on choosing experimental designs for discrete choice experiments seemed to greatly simplify this choice for applied researchers. It suggested that ( a ) commonly used designs can generate unbiased estimates for indirect utility function specifications with main effects only and main effects plus higher order terms, and ( b ) random designs are more efficient than main effects designs. We show that these results are very specific to the particular indirect utility specifications studied and do not generalize well. We further show that conclusions drawn concerning random designs are problematic and potentially dangerous for applied researchers.