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How far ahead do people plan?

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  • Hey, John D.
  • Knoll, Julia A.

Abstract

We report on a simple experiment which enables us to infer how far people plan ahead when taking decisions in a dynamic risky context. Usually economic theory assumes that people plan right to the end of the planning horizon. We find that this is true for a little over half of the subjects in the experiment, while a little under one half seem not to plan ahead at all.
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Suggested Citation

  • Hey, John D. & Knoll, Julia A., 2007. "How far ahead do people plan?," Economics Letters, Elsevier, vol. 96(1), pages 8-13, July.
    • Handle: RePEc:eee:ecolet:v:96:y:2007:i:1:p:8-13
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    References listed on IDEAS

    as
    1. Enrica Carbone & John Hey, 2001. "A Test of the Principle of Optimality," Theory and Decision, Springer, vol. 50(3), pages 263-281, May.
    2. John D. Hey, 2002. "Experimental Economics and the Theory of Decision Making Under Risk and Uncertainty," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 27(1), pages 5-21, June.
    3. John D. Bone & John D. Hey & John R. Suckling, 2003. "Do people plan ahead?," Applied Economics Letters, Taylor & Francis Journals, vol. 10(5), pages 277-280, April.
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    Cited by:

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    4. Christian Lukas & Jens Robert Schöndube, 2008. "Trust and Adaptive Learning in Implicit Contracts," FEMM Working Papers 08017, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    5. Quemin, Simon & Trotignon, Raphaël, 2021. "Emissions trading with rolling horizons," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
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    10. Pradiptyo, Rimawan & Sahadewo, Gumilang Aryo, 2012. "On The Complexity of Eliminating Fuel Subsidy in Indonesia; A Behavioral Approach," MPRA Paper 40045, University Library of Munich, Germany.

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    More about this item

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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