It also appears that the version of the PPM we tested can yield far
greater levels of contributions than the VCM for generic advertising in
repeated settings, which is consistent with prior research. In the case
of generic commodity advertising, the advantages of a PPM are twofold.
First, it is voluntary and therefore avoids the legal challenges that
mandatory programs currently face in U.S. courts. Second, the PPM in
this setting has the potential for a high level of success since the 70%
participation threshold was met more than 90% of the time. If
parallelism holds, such programs are likely to be highly successful and
popular since higher levels of funding for generic advertising can lead
to higher demand, prices, and profits for producers.
[Received October 29, 2006; accepted August 17, 2007.]
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(1) Another example of the social importance of generic advertising
is in relation to generic drugs, which now receive little or no
advertising. Insurance companies have faced stiff resistance to their
efforts to get consumers to switch to generic drugs given the
large-scale advertising programs for name-brand drugs. The Blue Cross
and Blue Shield Association argue that the failure to advertise generic
drugs at comparable levels results in the average name-brand drug
costing consumers about three times the equivalent generic--a
significant social cost, especially since generic drugs provide the same
levels of health benefits.
(2) Experiment instructions can be found in Messer, Kaiser, and
Schulze (2007).
(3) The cost, assessment, and price parameters used in the
experiment and the assumption that producers did not incur costs if
their units were not sold were not designed to mimic every aspect of the
egg market but instead sought to contextualize the producer's
decision regarding whether to contribute to voluntary generic
advertising programs.
(4) While initial demand is stochastic, the change in demand due to
advertising is deterministic based on contributions.
(5) Previous research has shown that, in a PPM with refunds, a
threshold of near 70% yields a good balance between high contributions
and a high rate of achieving the threshold (for example, see Dawes et
al. 1986).
(6) Since experimental design III in table 1 had two treatments
instead of four, each experimental session lasted approximately one hour
instead of the two hours required for all four treatments. Thus, the
expected hourly earnings for all experimental designs were equivalent.
Kent D. Messer is assistant professor, Departments of Food and
Resource Economics and Economics at the University of Delaware. Harry M.
Kaiser is professor, Department of Applied Economics and Management at
Cornell University. William D. Schulze is professor, Department of
Applied Economics and Management, Cornell University.
The authors thank Richard Sexton and Henry Kinnucan for their
helpful comments. Support for this research has come from the Decision,
Risk, and Management Science Program at the National Science Foundation
and from the National Institute for Commodity Promotion Research and
Evaluation. Any remaining errors are the authors'.
Table 1. Experimental Designs and Research
Questions, Number of Subjects
First Second
Treatment Treatment
Experimental No VCM VCM
Designs Program Refund Contribution
I. Baseline 80 80
II. VCM versus 40 40
PPM
III. Status Quo Bias 40 40
and the VCM
IV. Status Quo Bias 40 40
and the PPM
Total 200 160 40
Third Fourth
Treatment Treatment
Experimental Mandatory PPM PPM VCM
Designs Program Refund Contribution Refund
I. Baseline 80 80
II. VCM versus 40 40
PPM
III. Status Quo Bias
and the VCM
IV. Status Quo Bias 40 40
and the PPM
Total 160 80 40 40
First Second Third
Treatment Treatment Treatment
Research No VCM VCM Mandatory
Designs Program Refund Contribution Program
#1. Parallelism 160
#2. VCM versus
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