Behavioral Biases are Temporally Stable

Victor Stango,Jonathan Zinman

Published 2020 in Social Science Research Network

ABSTRACT

Social scientists often consider temporal stability when assessing the usefulness of a construct and its measures, but whether behavioral biases display such stability is relatively unknown. We estimate stability for 25 biases, in a nationally representative sample, using repeated elicitations three years apart. Bias level indicators are largely stable in the aggregate and within-person. Within-person intertemporal rank correlations imply moderate stability and increase dramatically when using other biases as instrumental variables. Additional results reinforce three key inferences: biases are stable, accounting for classical measurement error in bias elicitation data is important, and eliciting multiple measures of multiple biases is valuable.

PUBLICATION RECORD

  • Publication year

    2020

  • Venue

    Social Science Research Network

  • Publication date

    2020-09-01

  • Fields of study

    Psychology

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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REFERENCES

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