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Estimating individual rates of discount: a meta-analysis

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  • Marco Percoco
  • Peter Nijkamp

Abstract

In this article, we present the results from a meta-analysis conducted over 44 experimental and field studies, which report individual discount rate estimates. We find in our research that the experimental design of a study has a decisive impact on these estimates, and conclude that meta-analysis, in the case of individual discount rates, has a low transfer value.

Suggested Citation

  • Marco Percoco & Peter Nijkamp, 2009. "Estimating individual rates of discount: a meta-analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 16(12), pages 1235-1239.
    • Handle: RePEc:taf:apeclt:v:16:y:2009:i:12:p:1235-1239
    DOI: 10.1080/13504850701367189
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    Cited by:

    1. Dorian Jullien, 2016. "Under Uncertainty, Over Time and Regarding Other People: Rationality in 3D," GREDEG Working Papers 2016-20, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    2. Bruderer Enzler, Heidi & Diekmann, Andreas & Meyer, Reto, 2014. "Subjective discount rates in the general population and their predictive power for energy saving behavior," Energy Policy, Elsevier, vol. 65(C), pages 524-540.
    3. Christoph Engel, 2011. "Dictator games: a meta study," Experimental Economics, Springer;Economic Science Association, vol. 14(4), pages 583-610, November.
    4. Jindrich Matousek & Tomas Havranek & Zuzana Irsova, 2022. "Individual discount rates: a meta-analysis of experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 25(1), pages 318-358, February.
    5. Lydia Lawless & Andreas Drichoutis & Rodolfo Nayga, 2013. "Time preferences and health behaviour: a review," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 1(1), pages 1-19, December.
    6. Nicolas Vallois & Dorian Jullien, 2017. "Replication in Experimental Economics: A Historical and Quantitative Approach Focused on Public Good Game Experiments," GREDEG Working Papers 2017-21, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    7. Archana Dang, 2020. "Role of Time Preferences in Explaining the Burden of Malnutrition: Evidence from Urban India," Working papers 309, Centre for Development Economics, Delhi School of Economics.
    8. Víctor Adame & Javier Alonso & Luisa Pérez & David Tuesta, 2017. "Infrastructure & economic growth from a meta-analysis approach: do all roads lead to Rome?," Working Papers 17/07, BBVA Bank, Economic Research Department.
    9. Charles Courtemanche & Garth Heutel & Patrick McAlvanah, 2015. "Impatience, Incentives and Obesity," Economic Journal, Royal Economic Society, vol. 125(582), pages 1-31, February.
    10. Nicolas Vallois & Dorian Jullien, 2017. "Replication in experimental economics: A historical and quantitative approach focused on public good game experiments," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01651080, HAL.
    11. Archana Dang, 2023. "Time preferences and obesity: Evidence from urban India," Agricultural Economics, International Association of Agricultural Economists, vol. 54(4), pages 487-514, July.
    12. Dorian Jullien, 2019. "Under Risk, Over Time and Regarding Other People: Rationality Across Three Dimensions," Working Papers hal-03233897, HAL.
    13. Tom Lane, 2015. "Discrimination in the laboratory: a meta-analysis," Discussion Papers 2015-03, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    14. Lane, Tom, 2016. "Discrimination in the laboratory: A meta-analysis of economics experiments," European Economic Review, Elsevier, vol. 90(C), pages 375-402.

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