The name is absent



to effort, value, price and time parameters, ex-
cept for in/on pack coupons which estimates a
negative sign for
β2 (Table 1) and the sign for the
estimate of
β2 in equation (3) for magazine cou-
pons. The estimated standard error for
β2 is also
large relative to the estimate of
β2 for direct mail
coupons. Other statistics also are included in
Table 1, where, specifically, the R2s show that
more than 80 percent of the variation in redemp-
tion is explained by the equations, except for
in/on pack coupons, equation (2).

The negative sign of parameter β2 in equation
(3) for magazine coupons indicates that 15-cent
coupons had lower redemption than 10-cent cou-
pons. There were 26 magazine programs. Of
these 26 programs, 8 programs occurred before
1975, of which 5 programs used 10-cent coupons
and 3 used 15-cent coupons. Between March and
October, 1975, the FDOC had 7 programs, and
all of them used 10-cent coupons. The last 11
programs occurred in the fall of 1976, and all of
these programs used 15-cent coupons. If one
examines the face values of magazine coupons
during the study period, one finds that the nega-
tive sign of
β2 would indicate that the programs in
1976 were less effective than the programs before
1976. This result suggests the possible downward
influence of price, i.e., when price increases, re-
demption level decreases. The results in equation
(2) for magazine coupons support this hypothe-
sis.

The results of equations (2) and (3) for in∕on
pack coupons indicate that price may not be a
relevant variable in explaining coupon redemp-
tion, because the inclusion of a price variable in
the model caused R2 to decrease and the esti-
mated parameter
β2 is estimated with large stan-
dard error and unexpected sign.

One of the major differences between this
study and the Ward and Davis (1978a) study is
that the revised model allows the impacts of the
face value of the coupon, size of distribution, and
age of the program on coupon redemption to vary
for different types of coupon programs. In other
words, the hypothesis is that the four separate
regression equations for the four media do not
have the same structure, i.e., the same parameter
estimates as Ward and Davis have hypothesized.
Since these four regression equations are identi-
cally specified, Chow’s F-ratio is used to test the
equality among the coefficients for these four
types of coupons and the results are presented in
Table 2.

Chow’s test is developed to determine whether
two sets of observations come from the same re-
lation, e.g., whether the observations on news-
paper coupons and those on magazine coupon
have the same relationship. With four types of

TABLE 2. Chow’s F-ratio for Tests of Equality
Between Coefficients in Two Relations3

Medium

Magazine

Newspaper

Direct Mail

Equation (2)
Newspaper
Direct Mail
In∕0n Pack

58.9659

673.5617

104.6160

199.0565

54.6015

192.7001

Equation (3)
Newspaper
Direct Mail
In∕0n Pack

100.0901

261.9550

39.4467

218.8326

9.8889

104.0882

a If Chow’s F-ratio is greater than 3.48 (fo.oι.42o), one
would reject the equality hypothesis.

TABLE 1. OLS Estimates of Coupon Redemption Model (see equations (2) and (3))a

Independent
Variable

Magazine

Newspaper

Direct

(2)

Mail

Γ3)

In∕0n
(2)

Pack

(3)

(2)

(3)

(2)

(3)

Intercept

Cn)

5.4601

5.5065

3.4241

2.9778

6.1479

6.1018

5.1522

-9.2649

U

(.0909)

(.0906)

(.2975)

(.2913)

(.0869)

(.0945)

(.8713)

(.7288)

T^1

Ci)

-5.3190

-5.1690

-7.2638

-6.5718

-5.3142

-5.2364

-8.2861

-8.7192

(.1043)

(.0969)

(.2403)

.2400

(.1318)

.1296

(.5822)

.3019

⅛C*FV∕P

Co)

.0912

.4895

.0552

-.0198

L

(.0188)

(.0316)

¢.0217)

(.0377)

tnC*FV

(M

-.0050

.0185

.0001

.1285

t'

(.0007)

(.0013)

(.0010)

(.0057)

JlnC

C,)

.7996

.8954

.8571

.8625

.9126

.9484

.8936

.9866

ɔ

(.0132)

(.0131)

(.0384)

(.0399)

(.0151)

(.0204)

(.0661)

(.0374)

R2

.8788

.8810

.8273

.8214

.9697

.9691

.6473

.8813

F-Ratio

3116.89

3182.22

1120.97

1076.30

3462.69

3392.96

158.43

640.72

d.f.

1289

1289

702

702

325

325

259

259

a The numbers in parentheses are estimated standard errors of parameters.

127



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