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Causal Narratives / Chad W. Kendall, Constantin Charles.

By: Contributor(s): Material type: TextTextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w30346.Publication details: Cambridge, Mass. National Bureau of Economic Research 2022.Description: 1 online resource: illustrations (black and white)Subject(s): Other classification:
  • D03
  • D90
Online resources: Available additional physical forms:
  • Hardcopy version available to institutional subscribers
Abstract: We study the generation, transmission, and effects of causal narratives - narratives which describe a (potentially incorrect) causal relationship between variables. In a controlled experiment, we show that exogenously generated causal narratives manipulate the beliefs and actions of subjects in ways predicted by theory. We then show how to 'grow' these types of narratives organically by asking subjects who observe a dataset of variables to advise future subjects on what actions to take. Subjects have a strict preference to share their homegrown narratives with other subjects, who are then persuaded by them. Finally, we show that factual, statistical information does not eliminate the power of causal narratives.
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August 2022.

We study the generation, transmission, and effects of causal narratives - narratives which describe a (potentially incorrect) causal relationship between variables. In a controlled experiment, we show that exogenously generated causal narratives manipulate the beliefs and actions of subjects in ways predicted by theory. We then show how to 'grow' these types of narratives organically by asking subjects who observe a dataset of variables to advise future subjects on what actions to take. Subjects have a strict preference to share their homegrown narratives with other subjects, who are then persuaded by them. Finally, we show that factual, statistical information does not eliminate the power of causal narratives.

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