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Accounting for the dead in the longitudinal analysis of income-related health inequalities

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  • Petrie, Dennis
  • Allanson, Paul
  • Gerdtham, Ulf-G.

Abstract

This paper develops an accounting framework to consider the effect of deaths on the longitudinal analysis of income-related health inequalities. Ignoring deaths or using Inverse Probability Weights (IPWs) to re-weight the sample for mortality-related attrition can produce misleading results. Incorporating deaths into the longitudinal analysis of income-related health inequalities provides a more complete picture in terms of the evaluation of health changes in respect to socioeconomic status. We illustrate our work by investigating health mobility from 1999 till 2004 using the British Household Panel Survey (BHPS). We show that for Scottish males explicitly accounting for the dead rather than using IPWs to account for mortality-related attrition changes the direction of the relationship between relative health changes and initial income position, from negative to positive, while for other groups it significantly increases the strength of the positive relationship. Incorporating the dead may be vital in the longitudinal analysis of health inequalities.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Health Economics.

Volume (Year): 30 (2011)
Issue (Month): 5 ()
Pages: 1113-1123

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Handle: RePEc:eee:jhecon:v:30:y:2011:i:5:p:1113-1123

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Web page: http://www.elsevier.com/locate/inca/505560

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Keywords: Mortality; Income-related health inequality; Mobility analysis; Longitudinal data; Inverse probability weights (IPWs);

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References

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Citations

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Cited by:
  1. Petrie, Dennis & Allanson, Paul & Gerdtham, Ulf-G., 2011. "Accounting for the dead in the longitudinal analysis of income-related health inequalities," Journal of Health Economics, Elsevier, vol. 30(5), pages 1113-1123.
  2. Baeten, Steef & Van Ourti, Tom & van Doorslaer, Eddy, 2013. "The socioeconomic health gradient across the life cycle: What role for selective mortality and institutionalization?," Social Science & Medicine, Elsevier, vol. 97(C), pages 66-74.
  3. Baeten, Steef & Van Ourti, Tom & van Doorslaer, Eddy, 2013. "Rising inequalities in income and health in China: Who is left behind?," Journal of Health Economics, Elsevier, vol. 32(6), pages 1214-1229.
  4. Allanson, Paul & Petrie, Dennis, 2013. "Longitudinal methods to investigate the role of health determinants in the dynamics of income-related health inequality," Journal of Health Economics, Elsevier, vol. 32(5), pages 922-937.
  5. Hansen, Fredrik & Anell, Anders & Gerdtham, Ulf-G & Lyttkens, Carl Hampus, 2013. "The Future of Health Economics: The Potential of Behavioral and Experimental Economics," Working Papers 2013:20, Lund University, Department of Economics.

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