Advanced Search
MyIDEAS: Login to save this paper or follow this series

Indebted and Overweight: The Link Between Weight and Household Debt

Contents:

Author Info

  • Averett, Susan L.

    ()
    (Lafayette College)

  • Smith, Julie K.

    ()
    (Lafayette College)

Abstract

There is a substantial correlation between household debt and bodyweight. Theory suggests that a causal relationship between debt and bodyweight could run in either direction or both could be caused by unobserved common factors. We use OLS and Propensity Score Matching to ascertain if household debt (measured by credit card indebtedness and having trouble paying bills) is a potential cause of obesity. We find a strong positive correlation between debt and weight for women but this seems driven largely by unobservables. In contrast, men with trouble paying their bills are thinner and this is robust to various specification checks.

Download Info

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://ftp.iza.org/dp6898.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 6898.

as in new window
Length: 44 pages
Date of creation: Oct 2012
Date of revision:
Publication status: forthcoming in: Economics and Human Biology, http://dx.doi.org/10.1016/j.ehb.2013.12.004
Handle: RePEc:iza:izadps:dp6898

Contact details of provider:
Postal: IZA, P.O. Box 7240, D-53072 Bonn, Germany
Phone: +49 228 3894 223
Fax: +49 228 3894 180
Web page: http://www.iza.org

Order Information:
Postal: IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany
Email:

Related research

Keywords: propensity score matching; credit card debt; obesity;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

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. Rajeev H. Dehejia & Sadek Wahba, 1998. "Propensity Score Matching Methods for Non-experimental Causal Studies," NBER Working Papers 6829, National Bureau of Economic Research, Inc.
  2. Angela C. Lyons & Tansel Yilmazer, 2005. "Health and Financial Strain: Evidence from the Survey of Consumer Finances," Southern Economic Journal, Southern Economic Association, vol. 71(4), pages 873-890, April.
  3. Marco Caliendo & Sabine Kopeinig, 2005. "Some Practical Guidance for the Implementation of Propensity Score Matching," Discussion Papers of DIW Berlin 485, DIW Berlin, German Institute for Economic Research.
  4. Trenton Smith & Christiana Stoddard & Michael G. Barnes, 2007. "Why the Poor Get Fat: Weight Gain and Economic Insecurity," Working Papers 2007-16, School of Economic Sciences, Washington State University.
  5. Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364.
  6. Zhong Zhao, 2004. "Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 91-107, February.
  7. Irina Grafova, 2007. "Your Money or Your Life: Managing Health, Managing Money," Journal of Family and Economic Issues, Springer, vol. 28(2), pages 285-303, June.
  8. Sascha O. Becker & Marco Caliendo, 2007. "mhbounds - Sensitivity Analysis for Average Treatment Effects," Discussion Papers of DIW Berlin 659, DIW Berlin, German Institute for Economic Research.
  9. Matthias Keese & Hendrik Schmitz, 2010. "Broke, Ill, and Obese: The Effect of Household Debt on Health," SOEPpapers on Multidisciplinary Panel Data Research 350, DIW Berlin, The German Socio-Economic Panel (SOEP).
  10. Charles Michalopoulos & Howard S. Bloom & Carolyn J. Hill, 2004. "Can Propensity-Score Methods Match the Findings from a Random Assignment Evaluation of Mandatory Welfare-to-Work Programs?," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 156-179, February.
  11. Caliendo, Marco & Lee, Wang-Sheng, 2011. "Fat Chance! Obesity and the Transition from Unemployment to Employment," IZA Discussion Papers 5795, Institute for the Study of Labor (IZA).
  12. Burkhauser, Richard V. & Cawley, John, 2008. "Beyond BMI: The value of more accurate measures of fatness and obesity in social science research," Journal of Health Economics, Elsevier, vol. 27(2), pages 519-529, March.
Full references (including those not matched with items on IDEAS)

Citations

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp6898. 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: (Mark Fallak).

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.