IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/15864.html
   My bibliography  Save this paper

Estimation of a Dynamic Model of Weight

Author

Listed:
  • Shu Wen Ng
  • Edward C. Norton
  • David K. Guilkey
  • Barry M. Popkin

Abstract

The ongoing debate about the economic causes of obesity has focused on the changing relative prices of diet and exercise. This paper uses a model that explicitly includes time and spatially varying community-level urbanicity and price measures as instruments to obtain statistically correct measures for the endogenous effects of diet, physical activity, drinking, and smoking on weight. We apply a dynamic panel system GMM estimation model to longitudinal (1991-2006) data from China to model weight and find that among adult men in China, about 6.1% of weight gain was due to declines in physical activity and 2.9-3.8% was due to dietary changes over this period. In the long run, physical activity can account for around 6.9% of weight gain, while diet can account for 3.2-4.2% of weight gain.

Suggested Citation

  • Shu Wen Ng & Edward C. Norton & David K. Guilkey & Barry M. Popkin, 2010. "Estimation of a Dynamic Model of Weight," NBER Working Papers 15864, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:15864
    Note: HC HE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w15864.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Drost, Feike C & Nijman, Theo E, 1993. "Temporal Aggregation of GARCH Processes," Econometrica, Econometric Society, vol. 61(4), pages 909-927, July.
    2. Alonso-Borrego, Cesar & Arellano, Manuel, 1999. "Symmetrically Normalized Instrumental-Variable Estimation Using Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 36-49, January.
    3. Ann Forsyth & Mary Hearst & J. Michael Oakes & Kathryn H. Schmitz, 2008. "Design and Destinations: Factors Influencing Walking and Total Physical Activity," Urban Studies, Urban Studies Journal Limited, vol. 45(9), pages 1973-1996, August.
    4. Weili Ding & Steven F. Lehrer, 2010. "Estimating Treatment Effects from Contaminated Multiperiod Education Experiments: The Dynamic Impacts of Class Size Reductions," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 31-42, February.
    5. Charles Yuji Horioka & Junmin Wan, 2007. "The Determinants of Household Saving in China: A Dynamic Panel Analysis of Provincial Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(8), pages 2077-2096, December.
    6. Dana Goldman & Darius Lakdawalla & Yuhui Zheng, 2011. "Food Prices and the Dynamics of Body Weight," NBER Chapters, in: Economic Aspects of Obesity, pages 65-90, National Bureau of Economic Research, Inc.
    7. Lakdawalla, Darius & Philipson, Tomas, 2009. "The growth of obesity and technological change," Economics & Human Biology, Elsevier, vol. 7(3), pages 283-293, December.
    8. Michaud, Pierre-Carl & van Soest, Arthur, 2008. "Health and wealth of elderly couples: Causality tests using dynamic panel data models," Journal of Health Economics, Elsevier, vol. 27(5), pages 1312-1325, September.
    9. Schroeter, Christiane & Lusk, Jayson & Tyner, Wallace, 2008. "Determining the impact of food price and income changes on body weight," Journal of Health Economics, Elsevier, vol. 27(1), pages 45-68, January.
    10. Richard Blundell & Stephen Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies.
    11. Hahn, Jinyong & Hausman, Jerry & Kuersteiner, Guido, 2007. "Long difference instrumental variables estimation for dynamic panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 574-617, October.
    12. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 112-134.
    13. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    14. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    15. David M. Cutler & Edward L. Glaeser & Jesse M. Shapiro, 2003. "Why Have Americans Become More Obese?," Journal of Economic Perspectives, American Economic Association, vol. 17(3), pages 93-118, Summer.
    16. Carstensen, Kai & Toubal, Farid, 2004. "Foreign direct investment in Central and Eastern European countries: a dynamic panel analysis," Journal of Comparative Economics, Elsevier, vol. 32(1), pages 3-22, March.
    17. Sean Becketti & William Gould & Lee Lillard & Finis Welch, 1985. "The Panel Study of Income Dynamics After Fourteen Years: An Evaluation," UCLA Economics Working Papers 361, UCLA Department of Economics.
    18. 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.
    19. Rashad, Inas, 2006. "Structural estimation of caloric intake, exercise, smoking, and obesity," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 268-283, May.
    20. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053.
    21. Edward C. Norton & Euna Han, 2008. "Genetic information, obesity, and labor market outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 17(9), pages 1089-1104.
    22. Ng, Shu Wen & Norton, Edward C. & Popkin, Barry M., 2009. "Why have physical activity levels declined among Chinese adults? Findings from the 1991-2006 China health and nutrition surveys," Social Science & Medicine, Elsevier, vol. 68(7), pages 1305-1314, April.
    23. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    24. Zachary Zimmer & Toshiko Kaneda & Laura Spess, 2007. "An Examination of Urban Versus Rural Mortality in China Using Community and Individual Data," Journals of Gerontology: Series B, Gerontological Society of America, vol. 62(5), pages 349-357.
    25. Kuchler, Fred & Tegene, Abebayehu & Harris, James Michael, 2004. "Taxing Snack Foods: What to Expect for Diet and Tax Revenues," Agricultural Information Bulletins 33607, United States Department of Agriculture, Economic Research Service.
    26. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    27. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    28. 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.
    29. Michael T. French & Edward C. Norton & Hai Fang & Johanna Catherine Maclean, 2010. "Alcohol consumption and body weight," Health Economics, John Wiley & Sons, Ltd., vol. 19(7), pages 814-832.
    30. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tafreschi, Darjusch, 2015. "The income body weight gradients in the developing economy of China," Economics & Human Biology, Elsevier, vol. 16(C), pages 115-134.
    2. Fadaeenejad, M. & Radzi, M.A.M. & AbKadir, M.Z.A. & Hizam, H., 2014. "Assessment of hybrid renewable power sources for rural electrification in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 299-305.
    3. repec:eee:ehbiol:v:27:y:2017:i:pa:p:154-166 is not listed on IDEAS
    4. Daouli, Joan & Davillas, Apostolos & Demoussis, Michael & Giannakopoulos, Nicholas, 2014. "Obesity persistence and duration dependence: Evidence from a cohort of US adults (1985–2010)," Economics & Human Biology, Elsevier, vol. 12(C), pages 30-44.
    5. Aldy, Joseph E., 2014. "The Labor Market Impacts of the 2010 Deepwater Horizon Oil Spill and Offshore Oil Drilling Moratorium," Discussion Papers dp-14-27, Resources For the Future.
    6. Leonardo Fabio Morales & Penny Gordon-Larsen & David Guilkey, 2014. "Obesity and Health-Related Decisions: An Empirical Model of the Determinants of Weight Status," BORRADORES DE ECONOMIA 012171, BANCO DE LA REPÚBLICA.
    7. Morales, Leonardo Fabio & Gordon-Larsen, Penny & Guilkey, David, 2016. "Obesity and health-related decisions: An empirical model of the determinants of weight status across the transition from adolescence to young adulthood," Economics & Human Biology, Elsevier, vol. 23(C), pages 46-62.
    8. Pinkston, Joshua C., 2017. "The dynamic effects of obesity on the wages of young workers," Economics & Human Biology, Elsevier, vol. 27(PA), pages 154-166.
    9. Roemling, Cornelia & Qaim, Matin, 2012. "Obesity Trends, Determinants and Policy Implications in Indonesia," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126208, International Association of Agricultural Economists.
    10. Leonardo Fabio Morales & Penny Gordon-Larsen & David Guilkey, 2014. "Obesity and Health-Related Decisions: An Empirical Model of the Determinants of Weight Status," Borradores de Economia 846, Banco de la Republica de Colombia.
    11. repec:taf:applec:v:49:y:2017:i:8:p:797-811 is not listed on IDEAS

    More about this item

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:15864. 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: (). General contact details of provider: http://edirc.repec.org/data/nberrus.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.