IDEAS home Printed from https://ideas.repec.org/p/hrv/faseco/11130522.html
   My bibliography  Save this paper

Individual Laboratory-Measured Discount Rates Predict Field Behavior

Author

Listed:
  • Chabris, Christopher F.
  • Laibson, David I.
  • Morris, Carrie L.
  • Schuldt, Jonathon P.
  • Taubinsky, Dmitry

Abstract

We estimate discount rates of 555 subjects using a laboratory task and find that these individual discount rates predict inter-individual variation in field behaviors (e.g., exercise, BMI, smoking). The correlation between the discount rate and each field behavior is small: none exceeds 0.28 and many are near 0. However, the discount rate has at least as much predictive power as any variable in our dataset (e.g., sex, age, education). The correlation between the discount rate and field behavior rises when field behaviors are aggregated: these correlations range from 0.09–0.38. We present a model that explains why specific intertemporal choice behaviors are only weakly correlated with discount rates, even though discount rates robustly predict aggregates of intertemporal decisions.

Suggested Citation

  • Chabris, Christopher F. & Laibson, David I. & Morris, Carrie L. & Schuldt, Jonathon P. & Taubinsky, Dmitry, 2008. "Individual Laboratory-Measured Discount Rates Predict Field Behavior," Scholarly Articles 11130522, Harvard University Department of Economics.
  • Handle: RePEc:hrv:faseco:11130522
    as

    Download full text from publisher

    File URL: http://dash.harvard.edu/bitstream/handle/1/11130522/Laibson_Individual.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Robert B. Barsky & Miles S. Kimball & F. Thomas Juster & Matthew D. Shapiro, 1995. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Survey," NBER Working Papers 5213, National Bureau of Economic Research, Inc.
    2. Burks, Stephen V. & Carpenter, Jeffrey P. & Götte, Lorenz & Rustichini, Aldo, 2008. "Cognitive Skills Explain Economic Preferences, Strategic Behavior, and Job Attachment," IZA Discussion Papers 3609, Institute for the Study of Labor (IZA).
    3. David M. Cutler & Edward Glaeser, 2005. "What Explains Differences in Smoking, Drinking, and Other Health-Related Behaviors?," American Economic Review, American Economic Association, vol. 95(2), pages 238-242, May.
    4. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    5. Robert B. Barsky & F. Thomas Juster & Miles S. Kimball & Matthew D. Shapiro, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study," The Quarterly Journal of Economics, Oxford University Press, vol. 112(2), pages 537-579.
    6. Daniel J. Benjamin & Sebastian A. Brown & Jesse M. Shapiro, 2013. "Who Is ‘Behavioral’? Cognitive Ability And Anomalous Preferences," Journal of the European Economic Association, European Economic Association, vol. 11(6), pages 1231-1255, December.
    7. George Loewenstein & Drazen Prelec, 1992. "Anomalies in Intertemporal Choice: Evidence and an Interpretation," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 573-597.
    8. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, Oxford University Press, vol. 112(2), pages 443-478.
    9. repec:aph:ajpbhl:2004:94:7:1239-1244_0 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    More about this item

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • I1 - Health, Education, and Welfare - - Health

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hrv:faseco:11130522. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Office for Scholarly Communication). General contact details of provider: http://edirc.repec.org/data/deharus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.