Economics at your fingertips  

A Two-Sided, Empirical Model of Television Advertising and Viewing Markets

Kenneth Wilbur ()

Marketing Science, 2008, vol. 27, issue 3, 356-378

Abstract: For marketers, television remains the most important advertising medium. This paper proposes a two-sided model of the television industry. We estimate viewer demand for programs on one side and advertiser demand for audiences on the other. The primary objective is to understand how each group's program usage influences the other group. Four main conclusions emerge. First, viewers tend to be averse to advertising. When a highly rated network decreases its advertising time by 10%, our model predicts a median audience gain of about 25% (assuming no competitive reactions). Second, we find the price elasticity of advertising demand is -2.9, substantially more price elastic than 30 years ago. Third, we compare our estimates of advertiser and viewer preferences for program characteristics to networks' observed program choices. Our results suggest that advertiser preferences influence network choices more strongly than viewer preferences. Viewers' two most preferred program genres, Action and News, account for just 16% of network program hours. Advertisers' two most preferred genres, Reality and Comedy, account for 47% of network program hours. Fourth, we perform a counterfactual experiment in which some viewers gain access to a hypothetical advertisement avoidance technology. The results suggest that ad avoidance tends to increase equilibrium advertising quantities and decrease network revenues.

Keywords: advertising; broadcasting; demand estimation; empirical industrial organization; endogeneity; entertainment marketing; media; television; two-sided markets (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (109) Track citations by RSS feed

Downloads: (external link) (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:

Access Statistics for this article

More articles in Marketing Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Matthew Walls ().

Page updated 2021-05-08
Handle: RePEc:inm:ormksc:v:27:y:2008:i:3:p:356-378