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An Empirical Investigation of Quasi-hyperbolic Discounting

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  • Dr Justin van de Ven
  • Dr Martin Weale

Abstract

There is a growing consensus based on extensive experimental evidence that people are generally influenced by myopia when making decisions of an intertemporal nature. The view that people are myopic has now become sufficiently main-stream that it now features in contemporary debate regarding public policy reform (e.g. Pensions Commission, 2005, pp. 68-69, and DWP, 2006a, p. 42). This is of practical importance because the assumption that preferences are time inconsistent suggests a potential role for paternalistic policy intervention, which is absent from the classical rational agent model of behaviour. Despite its growing influence, however, very few studies have attempted to investigate the empirical evidence for myopia beyond controlled laboratory experiments, which leaves open the question of how important myopia is for decisions taken in the field. 1 Here I address this issue by considering how far behavioural myopia is supported by econometric estimates for a structural model of household savings and labour supply calculated on nationally representative survey data for the United Kingdom. I find no firm evidence in support of the proposition that myopia is of practical importance. Economic analyses of intertemporal decision making are usually conducted within the life-cycle framework (LCF). 2 This analytical approach focuses attention on the nature of intertemporal preferences over utility, which have typically been subsumed into a single discount factor, δ, following the seminal study by Samuelson (1937). 3 Unfortunately, it is difficult to reconcile this understanding of time preference with most of the associated empirical estimates that have been reported in the literature. This is because most of the available estimates for discount factors Ñ when viewed through the lens of the LCF Ñ are based on highly unrealistic assumptions (often implicit) regarding preferences, circumstances, and/or beliefs.

Suggested Citation

  • Dr Justin van de Ven & Dr Martin Weale, 2010. "An Empirical Investigation of Quasi-hyperbolic Discounting," National Institute of Economic and Social Research (NIESR) Discussion Papers 355, National Institute of Economic and Social Research.
  • Handle: RePEc:nsr:niesrd:355
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    Citations

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    Cited by:

    1. Dr Justin van de Ven, 2013. "The influence of decision costs on investments in Individual Savings Accounts," National Institute of Economic and Social Research (NIESR) Discussion Papers 407, National Institute of Economic and Social Research.
    2. Justin van de Ven & Paolo Lucchino, 2013. "Empirical Analysis of Household Savings Decisions in Context of Uncertainty: A Cross-Sectional Approach," Melbourne Institute Working Paper Series wp2013n21, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    3. van de Ven, Justin, 2011. "A structural dynamic microsimulation model of household savings and labour supply," Economic Modelling, Elsevier, vol. 28(4), pages 2054-2070, July.
    4. Callan, Tim & van de Ven, Justin & Keane, Claire & O'Connell, Philip J., 2012. "A Framework for Pension Policy Analysis in Ireland: PENMOD, a Dynamic Simulation Model," Book Chapters, in: Callan, Tim (ed.),Analysing Pensions: Modelling and Policy Issues, pages 43-101, Economic and Social Research Institute (ESRI).
    5. repec:cup:judgdm:v:8:y:2013:i:2:p:116-135 is not listed on IDEAS
    6. repec:ijm:journl:v109:y:2017:i:1:p:135-166 is not listed on IDEAS
    7. Paolo Lucchino & Dr Justin van de Ven, 2013. "Empirical Analysis of Household Savings Decisions in Context of Uncertainty: A cross-sectional approach," National Institute of Economic and Social Research (NIESR) Discussion Papers 406, National Institute of Economic and Social Research.
    8. Justin W. van de Ven, 2017. "Parameterising a detailed dynamic programming model of savings and labour supply using cross-sectional data," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 135-166.
    9. John R. Doyle, 2013. "Survey of time preference, delay discounting models," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 8(2), pages 116-135, March.
    10. Paolo Lucchino & Dr Justin van de Ven, 2013. "Empirical Analysis of Household Savings Decisions in Context of Uncertainty: A cross-sectional approach," National Institute of Economic and Social Research (NIESR) Discussion Papers 417, National Institute of Economic and Social Research.
    11. Justin Van de Ven, 2016. "Parameterising the LINDA microsimulation model of benefit unit savings and labour supply," National Institute of Economic and Social Research (NIESR) Discussion Papers 464, National Institute of Economic and Social Research.
    12. Takanori Ida, 2014. "A quasi-hyperbolic discounting approach to smoking behavior," Health Economics Review, Springer, vol. 4(1), pages 1-11, December.
    13. van de Ven, Justin, 2017. "SIDD: An adaptable framework for analysing the distributional implications of policy alternatives where savings and employment decisions matter," Economic Modelling, Elsevier, vol. 63(C), pages 161-174.

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