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| Usual Opposition Position |
| Some opponents believe that The New Worklife Expectancy Tables cannot be
defended using the Daubert/Kumho standards. |
| VEI Position |
The U.S. Supreme Court's opinions in
Daubert v. Merrell Dow Pharmaceuticals, Inc. (509 U.S. 579, 113 S.Ct.
2876; 1993), as enhanced by the subsequent Kumho decision (Kumho
Tire Company, Ltd., v. Patrick Carmichael (526 U.S. 137; 1999),
require that all expert testimony meet the general tests of
“reliability” and “relevancy.”
- Reliability - Daubert provides four flexible factors to determine if the
evidence qualifies as reliable: testing,
peer review and publication, error rates, and general acceptance in the
relevant community. As
updated by Kumho, the Court stressed that not all factors may apply
with every case, especially in the social sciences.
The trial court is left as the gatekeeper using the factors as
flexible guidelines to assure the expert employs the same level of
intellectual rigor as he or she would outside the courtroom when working
in the relevant discipline. The
applicability of each of the four factors is discussed below.
- Testing - The scientific testing criteria is directed more toward the “hard” sciences (e.g.
engineering) than toward vocational and economic testimony, since such
testimony is concerned with the future experience of people, which can
never be tested or known with absolute certainty.
Data from the Current Population Survey (CPS), however, are produced
and extensively tested by the U.S. Census Bureau and the U.S. Bureau of
Labor Statistics. The probabilities of life are drawn from the life tables from the U.S.
Department of Health and Human Services, National Center for Health
Statistics, which produces and extensively tests the tables.
- Peer Review and Publication –
Worklife tables and the CPS data used to measure employment rates of
persons with a work disability are the subject of multiple articles.
The bibliography is a partial
listing of these articles and includes listings of articles pertaining to
the worklife tables themselves, the methodology underlying The Tables, and
the use of CPS data for government and nonforensic researchers. The
bibliography shows that the worklife tables have been reviewed in
professional journals and that the CPS data have been used by researchers
for both forensic and non-forensic purposes.
- Error Rates - This criterion is
primarily intended to apply to the “hard” sciences in conjunction with
the testing performed there (e.g., reliability of a bolt securing a heavy
sheet of metal). With
regard to standards for controlling the technique’s operation, the LPE
methodology used to develop the tables was developed by
Brookshire and Cobb (1983). It was further
refined by Brookshire, Cobb, and Gamboa
(1987) to adjust for work
disability, and is one of multiple widely accepted methods to compute
worklife expectancies discussed in Life and Worklife Expectancies
(Richards & Abele
1999).
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General Acceptance – Forecasting a
plaintiff’s future earnings stream is not an exact science.
There is no single step in the loss computation process that enjoys
universal acceptance in the relevant community. As such, it is predictable that experts will disagree on the
method for computing lost earnings. This
is true of defining earning capacity, computing worklife expectancy,
projecting earnings growth, and determining discount rates.
The U.S. Supreme Court recognized the inexact nature of assessments for lost earnings in its 1983
decision in Jones
and Laughlin Steel Corporation v. Howard E. Pfeifer 462 U.S. 523.
The Court stated that
by its very nature the calculation of an award for lost earnings must be a
rough approximation. Because the lost stream can never be predicted with complete confidence, any lump
sum represents only a ‘rough and ready’ effort to put the plaintiff in
the position he would have been in had he not been injured.
However, there is wide acceptance of use
of the CPS data to define work disability.
In addition, a 1999 publication by Richards and
Abele, Life and Worklife Expectancies, looks at several
generally accepted ways of computing a statistical worklife, including the
method used in The New Worklife Expectancy Tables. The methodology used to develop The Tables was developed by
Michael Brookshire and William Cobb and was further refined by
Brookshire, Cobb, and Anthony Gamboa. In a 1991 article in the Journal of Legal Economics,
Gary Albrecht applied this methodology to assessments of earnings for
partially disabled individuals. The
opinions expressed by users of the worklife tables are consistent with
this methodology.
The worklife
tables and the methodology underlying them have been the subject of many
articles, lending credence to their overall
acceptance.
- Relevancy – The CPS data used in The Tables are averages for the applicable disability population –
those people with a work disability.
For forensic purposes, when assessing loss of lifetime earnings,
the most relevant and direct focus is on persons who have a work
disability.
Averages from various populations have
long been accepted as a means for prediction – life expectancy,
earnings, and others – and have long been accepted for use in the
courts. No statistic, no
matter how fine-tuned, can provide an exact predictor of an individual’s
future. This is as true of
worklife expectancies as it is of various measures of annual earnings,
growth rates, and discount rates. Experts, however, must not
blindly apply data to a plaintiff without consideration of how it matches
the plaintiff’s circumstances. The expert must apply data from The
Tables with intellectual rigor, applying the available statistics about
the work-disabled population and molding them to meet the specifics of the
case. If the plaintiff is unlike the statistical cohort, the
statistic should be adjusted, or the analysis of lost earnings should be
presented in a range, using two different worklife expectancies.
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Last modified:
Tuesday April 03, 2007 03:31 PM
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