IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Intertemporal discounting as a risk factor for high BMI: Evidence from Australia, 2008

  • Dodd, Mark C.
Registered author(s):

    This paper explores the relationship between intertemporal discounting and body weight, using stated preference measures of intertemporal discounting, and the body mass index (BMI) to represent relative body weight. The empirical analysis uses Australian data obtained in 2008 through the South Australian Health Omnibus Survey. A quantile regression analysis is used to allow the marginal effects of the explanatory variables on BMI to vary across the conditional BMI distribution. It is shown that an indicator of intertemporal discounting elicited from a hypothetical monetary trade-off has a significant positive relationship with BMI. This relationship appears to be stronger in the upper quantiles, but there is insufficient statistical evidence for this difference. Evidence is presented that intertemporal discounting is a risk factor for increased BMI with a magnitude of effect comparable to more commonly recognized risk factors such as income and education. However there is no significant relationship found between BMI and an alternative indicator of intertemporal discounting elicited from trade-offs in health status.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.sciencedirect.com/science/article/pii/S1570677X13000786
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Elsevier in its journal Economics & Human Biology.

    Volume (Year): 12 (2014)
    Issue (Month): C ()
    Pages: 83-97

    as
    in new window

    Handle: RePEc:eee:ehbiol:v:12:y:2014:i:c:p:83-97
    Contact details of provider: Web page: http://www.elsevier.com/locate/inca/622964

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    2. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    3. Thaler, Richard, 1981. "Some empirical evidence on dynamic inconsistency," Economics Letters, Elsevier, vol. 8(3), pages 201-207.
    4. John Cawley & Richard V. Burkhauser, 2006. "Beyond BMI: The Value of More Accurate Measures of Fatness and Obesity in Social Science Research," NBER Working Papers 12291, National Bureau of Economic Research, Inc.
    5. Kamhon KAN & Wei-Der TSAI, 2004. "Obesity and Risk Knowledge," IEAS Working Paper : academic research 04-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    6. Victor R. Fuchs, 1982. "Time Preference and Health: An Exploratory Study," NBER Chapters, in: Economic Aspects of Health, pages 93-120 National Bureau of Economic Research, Inc.
    7. repec:cup:cbooks:9780521608275 is not listed on IDEAS
    8. Robin Cubitt & Daniel Read, 2007. "Can intertemporal choice experiments elicit time preferences for consumption?," Experimental Economics, Springer, vol. 10(4), pages 369-389, December.
    9. Darius Lakdawalla & Tomas Philipson & Jay Bhattacharya, 2005. "Welfare-Enhancing Technological Change and the Growth of Obesity," American Economic Review, American Economic Association, vol. 95(2), pages 253-257, May.
    10. Maribeth Coller & Melonie Williams, 1999. "Eliciting Individual Discount Rates," Experimental Economics, Springer, vol. 2(2), pages 107-127, December.
    11. Costa-Font, Joan & Fabbri, Daniele & Gil, Joan, 2009. "Decomposing body mass index gaps between Mediterranean countries: A counterfactual quantile regression analysis," Economics & Human Biology, Elsevier, vol. 7(3), pages 351-365, December.
    12. Marjon M. Van Der Pol & John A. Cairns, 2000. "Negative and zero time preference for health," Health Economics, John Wiley & Sons, Ltd., vol. 9(2), pages 171-175.
    13. Komlos, John & Brabec, Marek, 2011. "The trend of BMI values of US adults by deciles, birth cohorts 1882-1986 stratified by gender and ethnicity," Economics & Human Biology, Elsevier, vol. 9(3), pages 234-250, July.
    14. Levy, Amnon, 2002. "Rational eating: can it lead to overweightness or underweightness?," Journal of Health Economics, Elsevier, vol. 21(5), pages 887-899, September.
    15. Borghans, Lex & Golsteyn, Bart H.H., 2006. "Time discounting and the body mass index: Evidence from the Netherlands," Economics & Human Biology, Elsevier, vol. 4(1), pages 39-61, January.
    16. David O. Meltzer & Zhuo Chen, 2009. "The Impact of Minimum Wage Rates on Body Weight in the United States," NBER Working Papers 15485, National Bureau of Economic Research, Inc.
    17. Stifel, David C. & Averett, Susan L., 2009. "Childhood overweight in the United States: A quantile regression approach," Economics & Human Biology, Elsevier, vol. 7(3), pages 387-397, December.
    18. Blaylock, James R. & Smallwood, David M. & Kassel, Kathleen & Variyam, Jayachandran N. & Aldrich, Lorna M., 1999. "Economics, Food Choices, And Nutrition," Agricultural Outlook Forum 1999 32947, United States Department of Agriculture, Agricultural Outlook Forum.
    19. Steffen Andersen & Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2008. "Eliciting Risk and Time Preferences," Econometrica, Econometric Society, vol. 76(3), pages 583-618, 05.
    20. Smith, Patricia K. & Bogin, Barry & Varela-Silva, Maria Ines & Loucky, James, 2003. "Economic and anthropological assessments of the health of children in Maya immigrant families in the US," Economics & Human Biology, Elsevier, vol. 1(2), pages 145-160, June.
    21. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    22. Lakdawalla, Darius & Philipson, Tomas, 2009. "The growth of obesity and technological change," Economics & Human Biology, Elsevier, vol. 7(3), pages 283-293, December.
    23. Becker, Gary S & Mulligan, Casey B, 1997. "The Endogenous Determination of Time Preference," The Quarterly Journal of Economics, MIT Press, vol. 112(3), pages 729-58, August.
    24. Grossman, Michael, 2000. "The human capital model," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 7, pages 347-408 Elsevier.
    25. Ehrlich, Isaac, 2000. "Uncertain lifetime, life protection, and the value of life saving," Journal of Health Economics, Elsevier, vol. 19(3), pages 341-367, May.
    26. repec:cup:cbooks:9780521845731 is not listed on IDEAS
    27. Sambit Bhattacharyya, 2004. "Deep determinants of economic growth," Applied Economics Letters, Taylor & Francis Journals, vol. 11(9), pages 587-590.
    28. Muurinen, Jaana-Marja, 1982. "Demand for health: A generalised Grossman model," Journal of Health Economics, Elsevier, vol. 1(1), pages 5-28, May.
    29. Ikeda, Shinsuke & Kang, Myong-Il & Ohtake, Fumio, 2010. "Hyperbolic discounting, the sign effect, and the body mass index," Journal of Health Economics, Elsevier, vol. 29(2), pages 268-284, March.
    30. 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 223-55, March-Apr.
    31. Francis Asenso-Boadi & Tim J. Peters & Joanna Coast, 2008. "Exploring differences in empirical time preference rates for health: an application of meta-regression," Health Economics, John Wiley & Sons, Ltd., vol. 17(2), pages 235-248.
    32. Angelina Lazaro & Ramon Barberan & Encarnacion Rubio, 2001. "Private and social time preferences for health and money: an empirical estimation," Health Economics, John Wiley & Sons, Ltd., vol. 10(4), pages 351-356.
    33. Wehby, George L. & Murray, Jeffrey C. & Wilcox, Allen & Lie, Rolv T., 2012. "Smoking and body weight: Evidence using genetic instruments," Economics & Human Biology, Elsevier, vol. 10(2), pages 113-126.
    34. Smith, Patricia K. & Bogin, Barry & Bishai, David, 2005. "Are time preference and body mass index associated?: Evidence from the National Longitudinal Survey of Youth," Economics & Human Biology, Elsevier, vol. 3(2), pages 259-270, July.
    35. Liljas, Bengt, 1998. "The demand for health with uncertainty and insurance," Journal of Health Economics, Elsevier, vol. 17(2), pages 153-170, April.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:eee:ehbiol:v:12:y:2014:i:c:p:83-97. 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: (Zhang, Lei)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 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.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.