It has been estimated that more than 20 billion hours
are spent on unpaid household work in Canada. Household
work includes, for example, meal preparation, grocery,
shopping, general cleaning, laundry, and indoor and outdoor
maintenance. In the last few years, there has been increasing
efforts to quantify household services in personal injury
and fatal accident proceedings. A surviving family member
is entitled to claim for a loss of household services
that would have been derived from the deceased. Although
the concept appears straightforward, considerable complexities
face practitioners with the calculation. The valuation
of household damages is particularly cumbersome due to
the fact that household work is a non-market activity,
the benefits of which cannot be measured by observation
and it is perplexing to verify the time spent by family
members involved in household work prior to the accident.
The courts have tried to neutralize some of these issues
by providing minimum requirements for household claims.
In Simmie v. Parker and Unger (1994), 164 A.R. 178, Rawlins
J., at 182, a judgement provided minimum requirements
for household services claims, that include: statistical
data on time spent on household services by the average
individual with characteristics similar to the plaintiff;
specific information regarding tasks previously undertaken
by the plaintiff and her/his ability to complete those
task, post-accident, in the time available for those tasks;
and time spent by paid help or family members in replacement
of the plaintiff’s duties. The purpose of this article
is to provide practical information that practitioners
may utilize and also discuss some of the problematic issues
with current approaches when valuing household work.
Where
there is information available dealing with a family member’s
contribution to household work, such as a diary, the loss
is more identifiable. When determining the amount of time
spent by family members on household tasks, when individual
information is less than perfect, the most useful information
can be found in Statistics Canada’s General Social
Survey (GSS), it records non-market activity information
by taking into account distinguishing characteristics
of sex, family structure, age, living arrangements and
employment status. This information provides practitioners
an estimated value for the time spent by family members
on household work. Utilizing average statistics can support
the information provided by family members and increases
the validity of a case. This was presented in a recent
case in Brouwer v. Grewal, (1995) 168 A.R. 1 (Q.B.), at
354, where the contribution to household work was less
than the average statistics for a woman with her socioeconomic
statistics. In other notable cases the use of average
statistics have been the basis of the evidence to household
work. In the case of O’ Hara et al. v. Belanger
(1989) 98 A.R. 86, at 87, it was found that average statistics
were the most appropriate basis for the estimation of
the loss of household services. Table 1 shows the average
time spent on unpaid work in Canada.
|
Table 1: average time spent on unpaid work
activities in Canada,
by various employment statuses aged. 25–44(hours/day)
|
|
|
Employed
Full-Time |
Employed
Part-Time |
Not
Employed |
|
Activity |
Married fathers |
Married mothers |
Lone-Parents |
Married
mothers |
Married
mothers |
Lone-Parent
mothers |
|
Cooking |
0.4 |
1.2 |
0.8 |
1.7 |
1.8 |
1.6 |
|
Housekeeping Maintenance |
0.2 |
1.0 |
0.7 |
1.6 |
1.9 |
1.9 |
|
Repairs |
0.4 |
- |
0.2 |
0.1 |
0.1 |
0.0 |
|
Other |
0.5 |
0.3 |
0.3 |
0.3 |
0.3 |
0.3 |
|
Shopping |
0.6 |
0.8 |
1.0
|
0.9
|
1.1 |
0.7 |
|
Child
Care |
0.9 |
1.3 |
1.0 |
2.0 |
2.3 |
2.5 |
|
Volunteer |
0.3 |
0.2 |
0.2 |
0.4 |
0.4 |
0.4 |
|
Total
hours/day |
3.2 |
4.8 |
4.3 |
7.0 |
7.9 |
7.5 |
Totals
may not add because of rounding. Statistics Canada’s
publication entitled As time goes by…Time Use of
Canadians, catalogue #89-544E, Table 2.5
In
general, the statistics indicate that individuals employed
in full-time jobs do considerably less unpaid household
work activities. It is likely that these individuals look
to the marketplace to fill their requirements for some
household work. Also, lone parents do less housework each
day than married mothers. Further, even though more men
spend time on household work, women still dominate unpaid
household work. In addition, results indicate that women
spend more time in preparing meals, doing indoor cleaning,
and laundry. While men manage more time doing outdoor
cleaning and home repairs.
The
second component is attributing an appropriate rate to
be employed in quantifying losses of household work for
litigation. Particularly, a rate payable is needed for
the services that are needed by the plaintiff or plaintiff’s
family. Attributing an appropriate rate to this component
is difficult because the lack of any market to purchase
this function. The courts have compensated individuals
for their efforts in household service activities. A number
of recent court judgments have provided specific hourly
rates for loss of household services. In Terracciano v.
Etheridge (1997) (British Columbia), an hourly rate of
$16.00 had been applied to the pre-accident loss. In Bannon
et. al v. McNeely et al (1998) (Ontario), a ruling of
$11.24 per hour was the generalist rate at which household
services could be fulfilled. These rulings have been consistently
undervalued in comparison to the rates charged out by
service providers. The discrepancies in these rates suggest
that the claimants are not compensated at rates that would
allow them to hire outside replacement services. Damages
have been determined through statistical methodologies.
The valuation methods used in quantifying a rate can be
summarized as:
1.
Opportunity Cost Method
The
main idea underlying this approach is that earnings are
forgone when time is spent doing household work instead
of participating in the paid labor market. The underlying
assumption is that paid work is given up and only monetary
benefits are forgone. Thus, the wages sacrificed are said
to be representative of the economic value that is placed
on time in household activities.
Summary
statistics pertaining to the opportunity cost method is
shown in Table 3.
|
Table 2: Opportunity Cost (dollars/ hour)
|
|
|
1961 |
1971 |
1981 |
1986 |
1992 |
FEMALES |
|
|
|
|
|
|
Before
Tax (including employer contributions) |
$1.52 |
$2.80 |
$7.03 |
$9.42 |
$13.46 |
|
After
Tax (excluding employer and employee contributions) |
$1.26 |
$1.98 |
$4.54 |
$5.93 |
$8.28 |
MALES |
|
|
|
|
|
|
Before
Tax (including employer contributions) |
$2.39 |
$4.15 |
$9.84 |
$12.86 |
$17.99 |
|
After
Tax (excluding employer and employee contributions) |
$1.94 |
$2.91 |
$6.68 |
$8.10 |
$10.11 |
As
Table 2 indicates, there are significant differences between
male and female opportunity costs. The reason for disparity
may be attributed to the share of time spent on household
work and the share of its value. There are a number of
difficulties with the opportunity cost approach. First,
the opportunity cost approach does not account for significant
differences that arise for the same amount of work performed
by different people due to disparities in education attainment.
Second, there is a lack of wage information regarding
persons who have not participated in the labor market
for some time. Perplexing problems arise when trying to
identify wage rates for persons who have been absent from
the labor market. The opportunity cost approach assumes
that individuals can allocate their time between market
and non-market work, in reality there are constraints
on the amount of time spent on market work and when such
work is required.
2.
Replacement Cost Method (specialist)
The
main idea underlying this approach is that the time devoted
to specific activities of household work can be valued
by taking hourly wage rates of various service providers
doing similar activities in their paid jobs. The main
assumption is that household services can be replaced
by hiring individuals with expertise in various occupational
fields. These people are assumed to be doing similar work
in the marketplace and are as productive as family members
doing household work. We have relied on rates quoted by
Brown Assessment Center. The table below summarizes the
results of this study. These rates show the costs per
hour to hire the various and assorted service providers.
|
Replacement Cost (Specialist) (dollars/hour)
|
|
|
1961 |
1971 |
1981 |
1986 |
1992 |
|
Meal
Preparation |
$1.28 |
$2.28 |
$5.39 |
$6.64 |
$9.18 |
|
Cleaning |
$1.62 |
$2.87 |
$6.79 |
$9.03 |
$12.03 |
|
Clothing
Care |
$1.28 |
$2.27 |
$5.76 |
$7.39 |
$10.11 |
|
Repairs
and Maintenance |
$1.84 |
$3.26 |
$8.22 |
$10.21 |
$14.78 |
|
Other
Domestic Work |
$1.05 |
$1.85 |
$4.31 |
$6.19 |
$9.39 |
|
Help
and Care |
$1.14 |
$2.01 |
$4.91 |
$6.31 |
$9.64 |
|
Management
and Shopping |
$2.96 |
$5.23 |
$11.37 |
$14.90 |
$19.58 |
3.
Replacement Cost Method (generalist)
The
main idea underlying this approach is that the time devoted
to household work can be valued based on hiring a general
domestic worker.
|
Replacement Cost (Generalist) (Dollars/Hour)
|
|
|
1961 |
1971 |
1981 |
1986 |
1992 |
|
Household
work |
$0.88 |
$1.56 |
$3.99 |
$5.65 |
$8.85 |
In
Canadian courts the most accepted methodology has been
the generalist replacement cost method. This methodology
has been endorsed in personal injury cases in Canada because
it provides compensation to replace the services lost.
The replacement cost methodology has been favored because
it is computationally simple, it recognizes the inherent
value of household work and it comes closest to achieving
the goal of returning the surviving family member to his/her
pre-accident position. Practitioners believe that this
approach most accurately values what the deceased did
directly for the benefit of the surviving family members.
However, there are some stifling difficulties to the replacement
cost approach. First, the replacement cost methodology
utilizes market alternatives that may perform household
tasks more efficiently than would individuals working
in their own homes. Second, it does not account for quality
differentials that exist for household work produced by
family members. Third, it understates many of the managerial
tasks involved in household work.
Another
important aspect to remember when calculating household
work claims is to make adjustments on the basis of the
division of household labor, economies of scale, and the
necessary additions or reductions to household work that
will be required in the absence of the deceased. Practitioners
should analyze how much household work was derived from
the deceased for surviving family members and now need
to be replaced. Furthermore, some families experience
economies of scale when they do housework. Due to the
fact that family members often share in household duties,
especially in the case of meal preparation, clean-up and
indoor cleaning, it may now take surviving family members
more time to fulfill these types of household chores because
the absence of the deceased’s contribution. On the
other hand, there may be instances where surviving family
members will have less household work, such areas include
laundry and shopping. Thus, practitioners should interview
the surviving family members concerning the type and amount
of household services performed by the deceased, it is
possible to confirm the appropriate use of statistical
averages or adjust the value of services. A major problem
that still exists is the value of afectual bonds. Having
a parent that cooks the evening meal may mean something
different than if an outside cook were to do the same.
These types of problems are difficult to quantify, since
afectual bonds can be more important than monetary values
for household services.
The
responsibility of deducing an appropriate value for the
loss of household services has a large impact on an award.
Putting dollar values on unpaid household work has been
problematic, mainly because of the lack of any market
exchanges for these services and the inability to verify
time spent on these services. This conundrum was stated
best by the Court of Appeal in Mason v. Peters (1982),
139 D.L.R. (3d) 104 at 110, “Precise proof is manifestly
impossible, but if a basis for reasonable ascertainment
of the amount of damages has been established, the court
will make the assessment as best it can with what it has.”
Due to this fact, careful analysis of household services
through documentation and statistical support is needed.
The issues mentioned in this article hopefully help to
better understand the problems practitioners’ face
when analyzing household work claims.
Gordon
Krofchick is a chartered accountant and chartered business
valuator who specializes in forensic accounting issues
and quantification of economic damages.
Saqib
Durrani is a business consultant and holds a Masters in
Business Administration.
Bob
Roth
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