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Designing Information Provision Experiments

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  • Ingar K. Haaland
  • Christopher Roth
  • Johannes Wohlfart

Abstract

Information provision experiments allow researchers to test economic theories and answer policy-relevant questions by varying the information set available to respondents. We survey the emerging literature using information provision experiments in economics and discuss applications in macroeconomics, finance, political economy, public economics, labor economics, and health economics. We also discuss design considerations and provide best-practice recommendations on how to (i) measure beliefs, (ii) design the information intervention, (iii) measure belief updating, (iv) deal with potential confounds, such as experimenter demand effects, and (v) recruit respondents using online panels. We finally discuss typical effect sizes and provide sample size recommendations.

Suggested Citation

  • Ingar K. Haaland & Christopher Roth & Johannes Wohlfart, 2020. "Designing Information Provision Experiments," CESifo Working Paper Series 8406, CESifo.
    • Handle: RePEc:ces:ceswps:_8406
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    More about this item

    Keywords

    experimental design; beliefs; information; surveys; obfuscation;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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