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Internal and External Validity of Experimental Risk and Time Preferences

Author

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  • Belzil, Christian

    (Ecole Polytechnique, Paris)

  • Sidibé, Modibo

    (Duke University)

Abstract

Using a unique field experiment from Canada, we estimate individual preference over risk and time and show considerable heterogeneity in both dimensions and relatively stable distributions across our various specifications, which include hyperbolic, quasi-hyperbolic discounting as well as subjective failure probability over future payments. We investigate the predictive power (transportability) of the estimated preference parameters when used to explain the take-up decision of higher education grants where financial stakes are approximately seven to fifty times larger than the cash transfers used to elicit preferences. We find that both long-run discount factors and subjective payment failure risk parameters have a high degree of transportability across tasks, while parameters characterizing short-run discount preferences are irrelevant when considering higher-stakes decisions.

Suggested Citation

  • Belzil, Christian & Sidibé, Modibo, 2016. "Internal and External Validity of Experimental Risk and Time Preferences," IZA Discussion Papers 10348, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp10348
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    References listed on IDEAS

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    Cited by:

    1. Tomáš Jagelka, 2020. "Are Economists’ Preferences Psychologists’ Personality Traits? A Structural Approach," ECONtribute Discussion Papers Series 014, University of Bonn and University of Cologne, Germany.

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    More about this item

    Keywords

    discounting; risk aversion; time inconsistency; transportability;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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