IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

The Effectiveness and Targeting of Television Advertising

  • Ron Shachar
  • Bharat N. Anand

Television networks spend about 16% of their revenues on tune-ins, which are previews or advertisements for their own shows. In this paper, we examine two questions. First, what is the informational content in advertising? Second, is this level of expenditures consistent with profit maximization? To answer these questions, we use a new and unique micro-level panel dataset on the television viewing decisions of a large sample of individuals, matched with data on show tune-in advertisements. The difference in effectiveness of advertisements between "regular" shows (about which viewers are assumed to have substantial information a priori) and "specials" (about which they have very little) reveals the value of information in advertisements and the different roles that information can play. The number of exposures for each individual is likely to be correlated with their preferences, since networks target their audiences. We address this endogeneity problem by controlling for observed, and integrating the unobserved, characteristics of individuals, and find that the estimated effects of tune-ins are still large. Finally, we find that actual expenditures on tune-ins closely match the predicted optimal levels of spending. Copyright (c) 1998 Massachusetts Institute of Technology.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.blackwell-synergy.com/servlet/useragent?func=synergy&synergyAction=showTOC&journalCode=jems&volume=7&issue=3&year=1998&part=null
File Function: link to full text
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Wiley Blackwell in its journal Journal of Economics & Management Strategy.

Volume (Year): 7 (1998)
Issue (Month): 3 (09)
Pages: 363-396

as
in new window

Handle: RePEc:bla:jemstr:v:7:y:1998:i:3:p:363-396
Contact details of provider: Web page: http://www.kellogg.northwestern.edu/research/journals/JEMS/

Order Information: Web: http://www.blackwellpublishing.com/journal.asp?ref=1058-6407&site=1

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:bla:jemstr:v:7:y:1998:i:3:p:363-396. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing)

or (Christopher F. Baum)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.