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|Abstract:||© Copyright 2018 by the American Economic Association. 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.|
|Citation:||De Quidt, J, Haushofer, J, Roth, C. (2018). Measuring and bounding experimenter demand. American Economic Review, 108 (11), 3266 - 3302. doi:10.1257/aer.20171330|
|Pages:||3266 - 3302|
|Type of Material:||Journal Article|
|Journal/Proceeding Title:||American Economic Review|
|Version:||Final published version. Article is made available in OAR by the publisher's permission or policy.|
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