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Saving Decisions Of The Working Poor: Short- And Long-Term Horizons

In: Field Experiments in Economics

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  • Catherine Eckel
  • Cathleen Johnson
  • Claude Montmarquette

Abstract

We explore the predictive capacity of short-horizon time preference decisions for long-horizon investment decisions. We use experimental evidence from a sample of Canadian working poor. Each subject made a set of decisions trading off present and future amounts of money. Decisions involved both short and long time horizons, with stakes ranging up to 600 dollars. Short horizon preference decisions do well in predicting the long-horizon investment decisions. These short horizon questions are much less expensive to administer but yield much higher estimated discount rates. We find no evidence that the present-biased preference measures generated from the short-horizon time preference decisions indicate any bias in long-term investment decisions. We also show that individuals are heterogeneous with respect to discount rates generated by short-horizon time preference decisions and long-horizon time preference decisions.

Suggested Citation

  • Catherine Eckel & Cathleen Johnson & Claude Montmarquette, 2005. "Saving Decisions Of The Working Poor: Short- And Long-Term Horizons," Research in Experimental Economics, in: Field Experiments in Economics, pages 219-260, Emerald Group Publishing Limited.
  • Handle: RePEc:eme:rexezz:s0193-2306(04)10006-9
    DOI: 10.1016/S0193-2306(04)10006-9
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    1. Catherine Eckel & Cathleen Johnson & Claude Montmarquette, 2002. "Will the Working Poor Invest in Human Capital? A Laboratory Experiment," CIRANO Project Reports 2002rp-08, CIRANO.
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    Cited by:

    1. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde, 2010. "Are Risk Aversion and Impatience Related to Cognitive Ability?," American Economic Review, American Economic Association, vol. 100(3), pages 1238-1260, June.
    2. Jere R. Behrman & Olivia S. Mitchell & Cindy Soo & David Bravo, 2010. "Financial Literacy, Schooling, and Wealth Accumulation," NBER Working Papers 16452, National Bureau of Economic Research, Inc.
    3. Jim Engle-Warnick & Sonia Laszlo, 2017. "Learning-by-doing in an ambiguous environment," Journal of Risk and Uncertainty, Springer, vol. 55(1), pages 71-94, August.
    4. Stephan Meier & Charles Sprenger, 2010. "Present-Biased Preferences and Credit Card Borrowing," American Economic Journal: Applied Economics, American Economic Association, vol. 2(1), pages 193-210, January.
    5. Breitkopf, Laura & Chowdhury, Shyamal & Priyam, Shambhavi & Schildberg-Hörisch, Hannah & Sutter, Matthias, 2024. "Do Economic Preferences of Children Predict Behavior?," IZA Discussion Papers 16834, Institute of Labor Economics (IZA).
    6. Laura Breitkopf & Shyamal Chowdhury & Shambhavi Priyam & Hannah Schildberg-Hörisch & Matthias Sutter, 2024. "Do economic preferences of children predict behavior?," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2024_09, Max Planck Institute for Research on Collective Goods.
    7. Booij, Adam S. & van Praag, Bernard M.S., 2009. "A simultaneous approach to the estimation of risk aversion and the subjective time discount rate," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 374-388, May.
    8. Jim Engle-Warnick & Javier Escobal & Sonia Laszlo, 2009. "How do additional alternatives affect individual choice under uncertainty?," Canadian Journal of Economics, Canadian Economics Association, vol. 42(1), pages 113-140, February.
    9. Wieland Mueller & Eline van der Heijden & Tobias J. Klein & Jan Potters, 2011. "Nudges and Impatience: Evidence from a Large Scale Experiment," Vienna Economics Papers 1110, University of Vienna, Department of Economics.
    10. Matt Parrett, 2006. "An Analysis of the Determinants of Tipping Behavior: A Laboratory Experiment and Evidence from Restaurant Tipping," Southern Economic Journal, John Wiley & Sons, vol. 73(2), pages 489-514, October.
    11. Arya, Shweta & Eckel, Catherine & Colin, Wichman, 2011. "Anatomy of the Credit Score," MPRA Paper 47783, University Library of Munich, Germany.
    12. Thomas Epper & Helga Fehr-Duda & Adrian Bruhin, 2011. "Viewing the future through a warped lens: Why uncertainty generates hyperbolic discounting," Journal of Risk and Uncertainty, Springer, vol. 43(3), pages 169-203, December.
    13. Thomas Meissner & Xavier Gassmann & Corinne Faure & Joachim Schleich, 2023. "Individual characteristics associated with risk and time preferences: A multi country representative survey," Journal of Risk and Uncertainty, Springer, vol. 66(1), pages 77-107, February.
    14. Jim Engle-Warnick & Javier Escobal & Sonia Laszlo, 2006. "The Effect Of An Additional Alternative On Measured Risk Preferences In A Laboratory Experiment In Peru," Departmental Working Papers 2006-10, McGill University, Department of Economics.
    15. Mohamed Ali Bchir & Marc Willinger, 2013. "Does the exposure to natural hazards affect risk and time preferences? Some insights from a field experiment in Perú," Working Papers 13-04, LAMETA, Universtiy of Montpellier, revised Mar 2013.
    16. Machado, Fabiana, 2011. "Inequality, Uncertainty, and Redistribution," MPRA Paper 35665, University Library of Munich, Germany.
    17. Burks, Stephen & Carpenter, Jeffrey & Götte, Lorenz & Rustichini, Aldo, 2012. "Which measures of time preference best predict outcomes: Evidence from a large-scale field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 308-320.
    18. Laura Breitkopf & Shyamal Chowdhury & Shambhavi Priyam & Hannah Schildberg-Hörisch & Matthias Sutter, 2024. "Do Economic Preferences of Children Predict Behavior?," CESifo Working Paper Series 10988, CESifo.
    19. Stephan Meier & Charles Sprenger, 2007. "Impatience and credit behavior: evidence from a field experiment," Working Papers 07-3, Federal Reserve Bank of Boston.
    20. Leonard, Tammy & Croson, Rachel T.A. & de Oliveira, Angela C.M., 2010. "Social capital and public goods," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 39(4), pages 474-481, August.

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