The medical care costs of obesity: An instrumental variables approach
This paper is the first to use the method of instrumental variables (IV) to estimate the impact of obesity on medical costs in order to address the endogeneity of weight and to reduce the bias from reporting error in weight. Models are estimated using restricted-use data from the Medical Expenditure Panel Survey for 2000–2005. The IV model, which exploits genetic variation in weight as a natural experiment, yields estimates of the impact of obesity on medical costs that are considerably higher than the estimates reported in the previous literature. For example, obesity is associated with $656 higher annual medical care costs, but the IV results indicate that obesity raises annual medical costs by $2741 (in 2005 dollars). These results imply that the previous literature has underestimated the medical costs of obesity, resulting in underestimates of the economic rationale for government intervention to reduce obesity-related externalities.
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Volume (Year): 31 (2012)
Issue (Month): 1 ()
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- Gruber, Jonathan & Washington, Ebonya, 2005. "Subsidies to employee health insurance premiums and the health insurance market," Journal of Health Economics, Elsevier, vol. 24(2), pages 253-276, March.
- Alberto Abadie & Joshua Angrist & Guido Imbens, 2002.
"Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings,"
Econometric Society, vol. 70(1), pages 91-117, January.
- Alberto Abadie & Joshua Angrist & Guido Imbens, 1999. "Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings," Working papers 99-16, Massachusetts Institute of Technology (MIT), Department of Economics.
- Jay Bhattacharya & Neeraj Sood, 2005. "Health Insurance and the Obesity Externality," NBER Working Papers 11529, National Bureau of Economic Research, Inc.
- Jason M. Fletcher & David Frisvold & Nathan Tefft, 2008.
"Can Soft Drink Taxes Reduce Population Weight?,"
0808, Department of Economics, Emory University (Atlanta).
- Marquis, M. Susan & Long, Stephen H., 1995. "Worker demand for health insurance in the non-group market," Journal of Health Economics, Elsevier, vol. 14(1), pages 47-63, May.
- Jay Bhattacharya & Neeraj Sood, 2011. "Who Pays for Obesity?," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 139-58, Winter.
- Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
- Frazis, Harley & Loewenstein, Mark A., 2003. "Estimating linear regressions with mismeasured, possibly endogenous, binary explanatory variables," Journal of Econometrics, Elsevier, vol. 117(1), pages 151-178, November.
- Steven C. Hill & G. Edward Miller, 2010. "Health expenditure estimation and functional form: applications of the generalized gamma and extended estimating equations models," Health Economics, John Wiley & Sons, Ltd., vol. 19(5), pages 608-627.
- Jay Bhattacharya & M. Kate Bundorf & Noemi Pace & Neeraj Sood, 2011.
"Does Health Insurance Make You Fat?,"
in: Economic Aspects of Obesity, pages 35-64
National Bureau of Economic Research, Inc.
- Willard G. Manning & John Mullahy, 1999.
"Estimating Log Models: To Transform or Not to Transform?,"
NBER Technical Working Papers
0246, National Bureau of Economic Research, Inc.
- Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
- Neil Mehta & Virginia Chang, 2009. "Mortality attributable to obesity among middle-aged adults in the united states," Demography, Springer;Population Association of America (PAA), vol. 46(4), pages 851-872, November.
- Markus Frolich & Blaise Melly, 2010. "Estimation of quantile treatment effects with Stata," Stata Journal, StataCorp LP, vol. 10(3), pages 423-457, September.
- John Komlos & Marek Brabec, 2010. "The Trend of Mean BMI Values of US Adults, Birth Cohorts 1882-1986 Indicates that the Obesity Epidemic Began Earlier than Hitherto Thought," NBER Working Papers 15862, National Bureau of Economic Research, Inc.
- Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-29, October.
- John Cawley, 2004. "The Impact of Obesity on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
- 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.
- 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.
- Shiell, Alan & Gerard, Karen & Donaldson, Cam, 1987. "Cost of illness studies: An aid to decision-making?," Health Policy, Elsevier, vol. 8(3), pages 317-323, December.
- Partha Deb & Pravin K. Trivedi, 2006. "Specification and simulated likelihood estimation of a non-normal treatment-outcome model with selection: Application to health care utilization," Econometrics Journal, Royal Economic Society, vol. 9(2), pages 307-331, 07.
- 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.
- Partha Deb & Pravin K. Trivedi, 2006. "Maximum simulated likelihood estimation of a negative binomial regression model with multinomial endogenous treatment," Stata Journal, StataCorp LP, vol. 6(2), pages 246-255, June.
- James W. Hardin & Henrik Schmeidiche & Raymond J. Carroll, 2003. "Instrumental variables, bootstrapping, and generalized linear models," Stata Journal, StataCorp LP, vol. 3(4), pages 351-360, December.
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