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On decomposing the causes of changes in income-related health inequality with longitudinal data


  • Paul Allanson
  • Dennis Petrie


Regression-based decomposition procedures are used to both standardise the concentration index and to determine the contribution of inequalities in the individual health determinants to the overall value of the index. The main contribution of this paper is to develop analogous procedures to decompose the income-related health mobility and health-related income mobility indices first proposed in Allanson, Gerdtham and Petrie (2010) and subsequently extended in Petrie, Allanson and Gerdtham (2010) to account for deaths. The application of the procedures is illustrated by an empirical study that uses British Household Panel Survey (BHPS) data to analyse the performance of Scotland in tackling income-related health inequalities relative to England & Wales over the five year period 1999 to 2004.

Suggested Citation

  • Paul Allanson & Dennis Petrie, 2011. "On decomposing the causes of changes in income-related health inequality with longitudinal data," Dundee Discussion Papers in Economics 250, Economic Studies, University of Dundee.
  • Handle: RePEc:dun:dpaper:250

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    References listed on IDEAS

    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. Van Ourti, Tom & van Doorslaer, Eddy & Koolman, Xander, 2009. "The effect of income growth and inequality on health inequality: Theory and empirical evidence from the European Panel," Journal of Health Economics, Elsevier, vol. 28(3), pages 525-539, May.
    3. Andrew M. Jones & Angel López Nicolás, 2004. "Measurement and explanation of socioeconomic inequality in health with longitudinal data," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 1015-1030.
    4. Allanson, Paul, 2010. "Longitudinal analysis of income-related health inequality: welfare foundations and alternative measures," SIRE Discussion Papers 2010-71, Scottish Institute for Research in Economics (SIRE).
    5. Sourushe Zandvakili, 2008. "Advances in Inequality Measurement and Usefulness of Statistical Inference," Forum for Social Economics, Springer;The Association for Social Economics, vol. 37(2), pages 135-145, August.
    6. Paul Contoyannis & Andrew M. Jones & Nigel Rice, 2004. "The dynamics of health in the British Household Panel Survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 473-503.
    7. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
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    12. Wagstaff, Adam & van Doorslaer, Eddy & Watanabe, Naoko, 2003. "On decomposing the causes of health sector inequalities with an application to malnutrition inequalities in Vietnam," Journal of Econometrics, Elsevier, vol. 112(1), pages 207-223, January.
    13. Allanson, Paul & Gerdtham, Ulf-G. & Petrie, Dennis, 2010. "Longitudinal analysis of income-related health inequality," Journal of Health Economics, Elsevier, vol. 29(1), pages 78-86, January.
    14. Katharina Hauck & Nigel Rice, 2004. "A longitudinal analysis of mental health mobility in Britain," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 981-1001.
    15. Benzeval, Michaela & Judge, Ken, 2001. "Income and health: the time dimension," Social Science & Medicine, Elsevier, vol. 52(9), pages 1371-1390, May.
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    More about this item


    decomposition; income-related health inequality; mobility analysis; longitudinal data;

    JEL classification:

    • D39 - Microeconomics - - Distribution - - - Other
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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