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Designing Information Provision Experiments

Ingar Haaland, Christopher Roth and Wohlfart. Johannes
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Ingar Haaland: University of Bergen and CESifo
Christopher Roth: University of Warwick, briq, CAGE Warwick, CESifo, CEPR
Wohlfart. Johannes: University of Copenhagen, CESifo, Danish Finance Institute

The Warwick Economics Research Paper Series (TWERPS) from University of Warwick, Department of Economics

Abstract: We review methodological questions relevant for the design of information provision experiments. We first provide a literature review of major areas in which information provision experiments are applied. We then outline key measurement challenges and design recommendations that may be of help for practitioners planning to conduct an information experiment. We discuss the measurement of subjective beliefs, including the role of incentives and ways to reduce measurement error. We also discuss the design of the information intervention, as well as the measurement of belief updating. Moreover, we describe ways to mitigate potential experimenter demand effects and numerical anchoring arising from the information treatment. Finally, we discuss typical effect sizes in information experiments.

Keywords: Experimental Design; Beliefs; Information; Obfuscation JEL codes: C90; D83; D91; L82 (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-exp
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Persistent link: https://EconPapers.repec.org/RePEc:wrk:warwec:1275

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