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Anchoring Effects in the Elicitation of Multidimensional Beliefs: Evidence from a Representative Survey Experiment

Author

Listed:
  • Philipp Lergetporer
  • Thomas Rittmannsberger
  • Katharina Werner
  • Helen Zeidler

Abstract

We study anchoring effects in the elicitation of multidimensional beliefs within a single survey task using a representative sample of the German voting-age population. Respondents estimated governmentspending levels across several domains (e.g., education, defense, social security), with randomized exposure to different informational anchors in one domain. Anchors significantly influence elicited beliefs in related domains and partially also shift respondents’ policy preferences. While the anchors change absolute estimates, perceived government-spending rankings remain stable. These findings offer methodological guidance for survey design involving multidimensional belief elicitation in informationprovision experiments.

Suggested Citation

  • Philipp Lergetporer & Thomas Rittmannsberger & Katharina Werner & Helen Zeidler, 2025. "Anchoring Effects in the Elicitation of Multidimensional Beliefs: Evidence from a Representative Survey Experiment," CESifo Working Paper Series 11912, CESifo.
  • Handle: RePEc:ces:ceswps:_11912
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    File URL: https://www.ifo.de/DocDL/cesifo1_wp11912.pdf
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    References listed on IDEAS

    as
    1. Lergetporer, Philipp & Schwerdt, Guido & Werner, Katharina & West, Martin R. & Woessmann, Ludger, 2018. "How information affects support for education spending: Evidence from survey experiments in Germany and the United States," Journal of Public Economics, Elsevier, vol. 167(C), pages 138-157.
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    More about this item

    Keywords

    anchoring; experiment; beliefs; survey; government spending;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

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