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

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  • Paul Allanson
  • Dennis Petrie

Abstract

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.

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Paper provided by Economic Studies, University of Dundee in its series Dundee Discussion Papers in Economics with number 250.

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Length: 43 pages
Date of creation: Mar 2011
Date of revision:
Handle: RePEc:dun:dpaper:250

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

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  1. 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.
  2. Leung, Siu Fai & Yu, Shihti, 1996. "On the choice between sample selection and two-part models," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 197-229.
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