Disability and earnings
The following articles are available on our web site, under the topic “Disability and earnings”:
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The Impact of Disability on
Earnings: Results of the Health and Activity Limitation
Survey
- Spring 2000 Expert Witness (5.1)
- This article
presents some information from Statistics Canada’s
Health and Activity Limitation Survey (HALS). Although
HALS was one of the most comprehensive surveys ever
conducted on the effects of disability, Statistics Canada
has chosen to publish results from that survey in a form
that is not of great value to litigators. Accordingly,
HALS has become one of those sources that is referred to
far more often than it is employed.
Economica has obtained access to Statistics Canada’s electronic records of over 100,000 individual questionnaires from HALS. This has allowed us to estimate income and education levels for each of four levels of disability, for both males and females, cross-categorised by four levels of education and four age groups. In their article, Christopher Bruce, Derek Aldridge, and Kris Aksomitis report the statistics derived from this process. Although the statistics reported there are too aggregated to allow practitioners to estimate damages in specific cases, they can act as a check to see whether the damages calculated in any particular case are "reasonable."
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Two interesting web sites relating
to disabilities
- Spring 2000 Expert Witness (5.1)
- This article is a brief description of two excellent web sites relating to disabilities that may interest our readers.
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The Reliability of Statistical
Evidence Concerning the Impact of Disability
- Winter 2004 Expert Witness (9.4)
- In the article Christopher Bruce provides a caution concerning the acceptance of statistical evidence about disability. Dr. Bruce argues that the courts and opposing counsel do not subject certain types of medical opinion to sufficiently strict statistical standards. Specifically, he shows that evidence based on: (i) the expert’s “experience,” (ii) the expert’s interpretation of third party statistics, or (iii) the expert’s understanding of published statistical reports may be unreliable. In this article, he provides examples of how statistical evidence may fail to meet the standards expected by the courts; and he offers suggestions about how counsel might respond to these deficiencies.
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The Impact of Disability on
Earnings: Reliable Data
- Spring 2005 Expert Witness (10.1)
- From his
analysis in his previous
article, Dr. Bruce concluded that, to be reliable,
evidence must be based on data sets that meet two
criteria: First, the number of observations must be large
enough that one can be certain that a representative
sample has been drawn. And, second, the data set must
include individuals drawn from all of the comparison
groups that are of interest.
In this article Dr. Bruce uses these two criteria to identify a set of research reports that he considers to be reliable; and he summarises the findings of these reports with respect to the impact that each of spinal cord injuries, chronic pain, visual and hearing disabilities, and brain damage have on both education and earnings.
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Using the HALS/PALS data sets to
estimate a loss of income
- Spring 2007 Expert Witness (12.1)
- In the article Derek Aldridge discusses the potential usefulness of Statistics Canada’s HALS/PALS disability statistics when attempting to estimate a person’s loss of income. His opinion is that while one can use these data sets to predict a loss of income, in most cases these predictions are not helpful for our purposes.
-
The Impact of Poor Health on
Retirement Age
- Autumn 2007 Expert Witness (12.2)
- In this article Christopher Bruce examines the evidence supporting a claim that poor health will lead to earlier retirement.