Economics at your fingertips  

Measuring and Bounding Experimenter Demand

Jonathan de Quidt (), Johannes Haushofer () and Christopher Roth

American Economic Review, 2018, vol. 108, issue 11, 3266-3302

Abstract: 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.

JEL-codes: C83 C90 D83 D91 (search for similar items in EconPapers)
Date: 2018
Note: DOI: 10.1257/aer.20171330
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (118) Track citations by RSS feed

Downloads: (external link) (application/pdf) ... QIrGoMSU_VdMcKuG3Wko (application/zip) ... Mfk-5j3ynET3rfSjwCMU (application/zip) ... hFBu6ohVK9gEJFOGGm0_ (application/zip)
Access to full text is restricted to AEA members and institutional subscribers.

Related works:
Working Paper: Measuring and Bounding Experimenter Demand (2017) Downloads
Working Paper: Measuring and Bounding Experimenter Demand (2017) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from

Access Statistics for this article

American Economic Review is currently edited by Esther Duflo

More articles in American Economic Review from American Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Michael P. Albert ().

Page updated 2022-05-12
Handle: RePEc:aea:aecrev:v:108:y:2018:i:11:p:3266-3302