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

Decomposing body mass index gaps between Mediterranean countries: A counterfactual quantile regression analysis

  • Costa-Font, Joan
  • Fabbri, Daniele
  • Gil, Joan

Wide cross-country variation in obesity rates has been reported between European Union member states. Although the existing cross-country differences have not been analyzed in depth, they contain important information on health production determinants. In this paper we apply a methodology for conducting standardized cross-country comparisons of body mass index (BMI). We draw on estimations of the marginal density function of BMI for Italy and Spain in 2003, two countries with similar GDP and socio-economic conditions. We produce different counterfactual distribution estimates using covariates (health production inputs) specified in a quantile regression. Our findings suggest that Spain-to-Italy BMI gaps among females are largely explained by cross-country variation in the returns to each covariate, especially for younger women. We find that adverse underlying determinants do not explain the gap observed in particular between younger Spanish females and their Italian counterfactuals; behavioural differences appear to be the key. We tentatively conclude that Spanish policy on obesity should target mainly younger females.

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/B73DX-4X4Y26S-1/2/4543440793b57e56611fc8c60e8fa64b
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): 7 (2009)
Issue (Month): 3 (December)
Pages: 351-365

as
in new window

Handle: RePEc:eee:ehbiol:v:7:y:2009:i:3:p:351-365
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. Albrecht, James & Björklund, Anders & Vroman, Susan, 2001. "Is There a Glass Ceiling in Sweden?," IZA Discussion Papers 282, Institute for the Study of Labor (IZA).
  2. Kamhon KAN & Wei-Der TSAI, 2004. "Obesity and Risk Knowledge," IEAS Working Paper : academic research 04-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
  3. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
  4. Wiji Arulampalam & Alison L. Booth & Mark L. Bryan, 2007. "Is There a Glass Ceiling over Europe? Exploring the Gender Pay Gap across the Wage Distribution," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 60(2), pages 163-186, January.
  5. John Cawley, 2004. "The Impact of Obesity on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
  6. Charles L. Baum II & Christopher J. Ruhm, 2007. "Age, Socioeconomic Status and Obesity Growth," NBER Working Papers 13289, National Bureau of Economic Research, Inc.
  7. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
  8. Angel López-Nicolás & Jaume García & Pedro J. Hernández, 2001. "How wide is the gap? An investigation of gender wage differences using quantile regression," Empirical Economics, Springer, vol. 26(1), pages 149-167.
  9. Morris, Stephen, 2006. "Body mass index and occupational attainment," Journal of Health Economics, Elsevier, vol. 25(2), pages 347-364, March.
  10. Chou, Shin-Yi & Grossman, Michael & Saffer, Henry, 2004. "An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System," Journal of Health Economics, Elsevier, vol. 23(3), pages 565-587, May.
  11. Shapiro, Jesse & Glaeser, Edward & Cutler, David, 2003. "Why Have Americans Become More Obese," Scholarly Articles 2640583, Harvard University Department of Economics.
  12. Morris, Stephen, 2007. "The impact of obesity on employment," Labour Economics, Elsevier, vol. 14(3), pages 413-433, June.
  13. Anna Sanz De Galdeano, 2005. "The Obesity Epidemic in Europe," CSEF Working Papers 143, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
  14. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  15. Brunello, Giorgio & Michaud, Pierre-Carl & Sanz-de-Galdeano, Anna, 2008. "The Rise in Obesity across the Atlantic: An Economic Perspective," IZA Discussion Papers 3529, Institute for the Study of Labor (IZA).
  16. David M. Cutler & Adriana Lleras-Muney, 2006. "Education and Health: Evaluating Theories and Evidence," NBER Working Papers 12352, National Bureau of Economic Research, Inc.
  17. John Komlos & Ariane Breitfelder & Marco Sunder, 2008. "The Transition to Post-industrial BMI Values Among US Children," NBER Working Papers 13898, National Bureau of Economic Research, Inc.
  18. Joan Costa-Font & Joan Gil, . "Social interactions and the contemporaneous determinants of individuals’ weight," Working Papers 2004-19, FEDEA.
  19. Costa-Font, Joan & Gil, Joan, 2005. "Obesity and the incidence of chronic diseases in Spain: A seemingly unrelated probit approach," Economics & Human Biology, Elsevier, vol. 3(2), pages 188-214, July.
  20. Paul Contoyannis & John Wildman, 2007. "Using relative distributions to investigate the body mass index in England and Canada," Health Economics, John Wiley & Sons, Ltd., vol. 16(9), pages 929-944.
  21. 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.
  22. Christopher J. Ruhm, 2007. "Current and Future Prevalence of Obesity and Severe Obesity in the United States," NBER Working Papers 13181, National Bureau of Economic Research, Inc.
  23. Pierre-Carl Michaud & Arthur van Soest & Tatiana Andreyeva, 2007. "Cross-Country Variation in Obesity Patterns among Older Americans and Europeans," Social and Economic Dimensions of an Aging Population Research Papers 185, McMaster University.
  24. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
  25. Joan Gil & Toni Mora, 2009. "The Determinants of Misreporting Weight and Height: The Role of Social Norms," Working Papers 2009-01, FEDEA.
  26. Arendt, Jacob Nielsen, 2005. "Does education cause better health? A panel data analysis using school reforms for identification," Economics of Education Review, Elsevier, vol. 24(2), pages 149-160, April.
  27. Costa-Font, Joan & Gil, Joan, 2008. "What lies behind socio-economic inequalities in obesity in Spain A decomposition approach," Food Policy, Elsevier, vol. 33(1), pages 61-73, February.
  28. Gruber, Jonathan & Frakes, Michael, 2006. "Does falling smoking lead to rising obesity?," Journal of Health Economics, Elsevier, vol. 25(2), pages 183-197, March.
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:7:y:2009:i:3:p:351-365. 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.