Experimentation and Budgeting in Advertising: An Adaptive Control Approach
Dov Pekelman and
Edison Tse
Additional contact information
Dov Pekelman: Tel Aviv University, Tel Aviv, Israel
Edison Tse: Stanford University, Stanford, California
Operations Research, 1980, vol. 28, issue 2, 321-347
Abstract:
This paper demonstrates how a general adaptive control scheme combines experimentation in advertising levels, estimation of sales advertising relationships, and the determination of advertising budgets. Various assumptions of current practices in experimentation and estimation are discussed and it is shown how these can be improved. A set of equations describing the sales-advertising system is proposed, its stochastic nature is analyzed, and an algorithm for calculating the adaptive control policies for this system is developed. To test the performance of the adaptive control scheme, the system is simulated under various conditions which include constant parameters, parameters which are varying over time, different initial estimates, and noise levels. Simulations of actual markets are then run and the amount of learning obtained by the adaptive control scheme is analyzed. Various extensions which can be easily incorporated in the general adaptive control scheme are specified.
Date: 1980
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://dx.doi.org/10.1287/opre.28.2.321 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:28:y:1980:i:2:p:321-347
Access Statistics for this article
More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().