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CPS1879 Zineb El O.T.
education was complete -- so you might see very small gaps in primary school
completion between people aged 40 and over with and without disabilities.
The same thing for marriage, we might expect that people with disabilities
are less likely to get married, and the proportion of married people with
disability is lower than those without disability, therefore wide gap between
people with and without disability, but the comparison of global rate shows
slight difference, because of age structure of population with disability, half
of disabled people get marriage before being affected by disability.
It is highly recommended to proceed with a cohort analysis. Even for
something like poverty -- bigger impact on the life of the persons if they are
disabled while a child, than If they become disabled at age 70 after a lifetime
of building up assets and raising children who can maybe support them in old
age, the impact of disability may not be as great. Unfortunately we rarely have
data on onset of disability. A cohort analysis doesn't totally correct for this, but
it does lessen the effect.
So how can we accurately compare disaggregated indicators by disability
status when the age distributions are so different? Can the age-adjusted rate
solve the problem? If yes, which standard population we should consider? And
what are the indicators that should be adjusted ?

References
1. Namrata Bains, (March 2009), Standardisation of rates
2. Kerr, C., Taylor, R., & Heard, G. (1997). Handbook of Public Health
Methods. Sydney: McGraw-Hill.
3. Kitagawa, E.M. (1964). Standardized comparisons in population research.
Demography. 1, 296-315.
4. Klein, R.J., & Schoenborn, C.A. (January 2001). Age adjustment using the
2000 projected U.S.population. Healthy People 2010, Statistical Notes-
Centres for Disease Control and Prevention, U.S. Department of Health
and Human Services. Number 20.

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