Measuring and Bounding Experimenter Demand
提出一种评估实验和调查结果对需求效应稳健性的技术，通过结构化诱导需求来界定其影响，并应用于11个经典任务，估计需求效应平均为0.13个标准差。
We propose a technique for assessing robustness to demand effects of findings from experiments and surveys. The core idea is that by deliberately inducing demand in a structured way we can bound its influence. We present a model in which participants respond to their beliefs about the researcher’s objectives. Bounds are obtained by manipulating those beliefs with “demand treatments.” We apply the method to 11 classic tasks, and estimate bounds averaging 0.13 standard deviations, suggesting that typical demand effects are probably modest. We also show how to compute demand-robust treatment effects and how to structurally estimate the model.