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Diabetes and the Rise of the SES Health Gradient

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  • James Smith

Abstract

This paper investigates the salient diabetes prevalence patterns across key SES indicators, and how they changed over time. The investigation spans both the conventional concept of diagnosed diabetes and a more comprehensive measure including those whose diabetes is undiagnosed. By doing so, I separate the distinct impact of covariates on disease onset, better self-management, and the probability of disease diagnosis. Emphasis is given to SES correlates of undiagnosed diabetes and how these changed as those with undiagnosed diabetes plummeted over the last 25 years. I estimate the differential ability by education to successful self-manage diabetes, especially when disease self-management became more complicated.

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Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 12905.

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Date of creation: Feb 2007
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Handle: RePEc:nbr:nberwo:12905

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  1. James P. Smith, 2004. "Unravelling the SES health connection," IFS Working Papers W04/02, Institute for Fiscal Studies.
  2. Darius Lakdawalla & Tomas Philipson, 2002. "The Growth of Obesity and Technological Change: A Theoretical and Empirical Examination," NBER Working Papers 8946, National Bureau of Economic Research, Inc.
  3. Dana P. Goldman & James P. Smith, 2004. "Can Patient Self-Management Help Explain the SES Health Gradient?," HEW 0403004, EconWPA.
  4. Arie Kapteyn & James P. Smith & Arthur van Soest, 2004. "Self-reported Work Disability in the US and The Netherlands," Working Papers 206, RAND Corporation Publications Department.
  5. Inas Rashad & Michael Grossman & Shin-Yi Chou, 2005. "The Super Size of America: An Economic Estimation of Body Mass Index and Obesity in Adults," NBER Working Papers 11584, National Bureau of Economic Research, Inc.
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Cited by:
  1. Cutler, David M. & Lange, Fabian & Meara, Ellen & Richards-Shubik, Seth & Ruhm, Christopher J., 2011. "Rising educational gradients in mortality: The role of behavioral risk factors," Journal of Health Economics, Elsevier, vol. 30(6), pages 1174-1187.
  2. Heckman, James J., 2007. "The Economics, Technology and Neuroscience of Human Capability Formation," IZA Discussion Papers 2875, Institute for the Study of Labor (IZA).
  3. Lei, Xiaoyan & Yin, Nina & Zhao, Yaohui, 2010. "SES Health Gradients during the Epidemiological Transition: The Case of China," IZA Discussion Papers 4914, Institute for the Study of Labor (IZA).
  4. Lei, Xiaoyan & Yin, Nina & Zhao, Yaohui, 2012. "Socioeconomic status and chronic diseases: The case of hypertension in China," China Economic Review, Elsevier, vol. 23(1), pages 105-121.
  5. Heckman, James J., 2008. "Schools, Skills, and Synapses," IZA Discussion Papers 3515, Institute for the Study of Labor (IZA).
  6. David M. Cutler & Fabian Lange & Ellen Meara & Seth Richards & Christopher J. Ruhm, 2010. "Explaining the Rise in Educational Gradients in Mortality," NBER Working Papers 15678, National Bureau of Economic Research, Inc.
  7. Xiaoyan Lei & Nina Yin & Yaohui Zhao, 2010. "SES Health Gradients during the Epidemiological Transition : The Case of China," Development Economics Working Papers 22719, East Asian Bureau of Economic Research.
  8. Sansani, Shahar, 2009. "The Effects of School Quality on Long-Term Health," MPRA Paper 22189, University Library of Munich, Germany, revised Apr 2010.

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