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Behavioral Biases are Temporally Stable

Author

Listed:
  • Victor Stango
  • Jonathan Zinman

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.

Suggested Citation

  • Victor Stango & Jonathan Zinman, 2020. "Behavioral Biases are Temporally Stable," NBER Working Papers 27860, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:27860
    Note: AG AP DEV EEE EH IO LE LS PE
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    Cited by:

    1. Maya Haran Rosen & Orly Sade, 2022. "The Disparate Effect of Nudges on Minority Groups," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 11(3), pages 605-643.
    2. Matías Strehl Pessina, 2022. "Sectores de altos ingresos y preferencias por redistribución," Documentos de Trabajo (working papers) 22-15, Instituto de Economía - IECON.
    3. Clémence Berson & Raphaël Lardeux & Claire Lelarge, 2021. "The Cognitive Load of Financing Constraints: Evidence from Large-Scale Wage Surveys," Working papers 836, Banque de France.
    4. Germán Reyes, 2023. "Cognitive Endurance, Talent Selection, and the Labor Market Returns to Human Capital," CRC TR 224 Discussion Paper Series crctr224_2023_490, University of Bonn and University of Mannheim, Germany.
    5. Germ'an Reyes, 2023. "Cognitive Endurance, Talent Selection, and the Labor Market Returns to Human Capital," Papers 2301.02575, arXiv.org.

    More about this item

    JEL classification:

    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • E70 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics - - - General

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