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Learning from Stories, Statistics, and Narratives

Author

Listed:
  • Thomas Graeber

  • Christopher Roth

  • Florian Zimmermann

Abstract

This article reviews how different types of information shape belief formation. We organize the discussion around two distinctions: whether information supplies evidence or a frame work for interpreting evidence, and whether it is qualitative or quantitative. Stories describe individual instances in qualitative terms, whereas statistics summarize many observations numerically. Narratives and quantitative models provide qualitative and quantitative frame works, respectively, for interpreting evidence. We examine how learning from evidence and learning from models interact: models shape responses to existing and subsequent evidence, while evidence can prompt model revision. We argue that qualitative information engages associative cognitive processes, such as mental simulation and memory retrieval, which tend to give it a larger and more lasting influence on beliefs than quantitative information. We then discuss implications for strategic communication and the supply of information in media markets, and identify challenges and open questions for future research.

Suggested Citation

  • Thomas Graeber & Christopher Roth & Florian Zimmermann, 2026. "Learning from Stories, Statistics, and Narratives," CRC TR 224 Discussion Paper Series crctr224_2025_790, University of Bonn and University of Mannheim, Germany.
  • Handle: RePEc:bon:boncrc:crctr224_2025_790
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    File URL: https://www.crctr224.de/research/discussion-papers/archive/dp790
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    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy

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