FTC Joe Camel Documents
Letter to Michael C. Henkel from Diane S. Burrows Re: AGEMIX Baseline
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...... ~r. Michael C. Henkel
:iii~!!iii~.:::::i~ata Resources, Inc.
iiii!~:i{~:~i!::iiiiiii~iu i t e 610 - Ga s L i g h t Towe r
[~.~:~:~:~:~:~:35 Peachtree Street, N.E.
A::£ lanta, Georgia 30303
iii:~:~:~:~:ii!iii:~:.i~ a r M i k e :
July 8, 1982
This is to confirm our telephone discussion of July I, in which
we agreed:
To develop AGEMIX based on age groupings which are more
consistent with government reports on incidence and rate,
which provide the initial conditions for AGEMIX. The breaks
will be: 12-17, 18-24, 25-34, 35-44, 45-64, and 65+.
To develop our AGEMIX baseline using this scenario:
• Incidence and rate for ages 12-17 and 18-24 are assumed to
always be identical to the 1965 initial values. Our
premise is that if nothing had changed since 1965, people
would develop smoking behavior patterns as they did in
1965.
• Since few people start smoking after age 24, we will
assume that incidence remains fixed as a group ages past
24. (The falloff in incidence at older ages is presumed
to be a function of the negative factors we are seeking to
correlate to consumption).
It appears that smoking rate follows a "life cycle"
pattern. By comparing several periods of data, I have
attempted to replicate this pattern in the age-specific
rates supplied for 1965. We will assume that smokers
always adopt rate according to their age.
That the initial 1965 values which will drive the AGEMIX
scenario are: CX 70-A
INCIDENCE
MALE £EMALE MALE
RATE PER DAY
FEMALE
12-17 11.9% 6.3% 19.0
18.5
18-24 51.3 36.0 25.0
23.1
25-34 60.7 43.8 28.0
24.8
35-44 58.2 43.7 28.8
24.9
45-64 51.9 32.0 28.1
24.3
65+ 28.5 9.6 22.8
20.7

' I
[n [965, thes,~ [nitia| valttes would predict con:Bumption of
512,552 million cigarettes (compared to our shipment - based
estimate of 512,667. Given our AGEMIX scenario and these I
and R inputs, I estimate that our baseline would predict
consumption of 692.2 billion in 1981, leaving about 68.4
billion to be explained by other factors.
To simplify the AGEMIX equations by using current period
population, rate, and incidence wherever possible, rather
than a percentage of lagged values. Although the percentage
approach tended to offset the errors which we know exist in
the population estimates, I agree that it is better to be
accurate wherever we can and at least know the likely source
of any variances that occur. Using current period population
requires population figures by individual years of age, which
you have available for all necessary ages except age 64: we
will assume that female 64 year-olds comprise 18.7% and males
18.2% of these respective 60-64 year totals, based on the
1965 government estimate.
That when your bill arrives, we will hold it until the model
is satisfactorily completed.
} ..... I.am looking forward to our day together on July 12 to go over
{i::i::!i:.;:ii!::ii:.ii::~rrent progress in detail. I am also holding the 16th open if
::i ....... we need more work session. I believe we were still to work out
.~iiiiiii~:::.%:~::~ t e f o r o u r m a n a g e m e n t p r e s e n t a t i o n.
..... G~ll if I can help.
! "'::!ii~:" :::
4i~!ii!i!i::D~ane S. Burrows
::. MARKETING DEVELOPMENT DEPARTMENT
~:. ~S B / c h
.;:~. cC: Mr. P. g. Galyan
~: MDD Library (MDD#82-51303)
RM0003739
CX 70-B
