IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/30278.html
   My bibliography  Save this paper

Pricing Power in Advertising Markets: Theory and Evidence

Author

Listed:
  • Matthew Gentzkow
  • Jesse M. Shapiro
  • Frank Yang
  • Ali Yurukoglu

Abstract

Existing theories of media competition imply that advertisers will pay a lower price in equilibrium to reach consumers who multi-home across competing outlets. We generalize, extend, and test this prediction. We find that television outlets whose viewers watch more television charge a lower price per impression to advertisers. This finding helps rationalize well-known stylized facts such as a premium for younger and more male audiences on television. A quantitative version of our model whose only free parameter is a scale normalization can explain 35 percent of the variation in price per impression across owners of television networks, and aligns with recent trends in television advertising revenue. We use the model to quantify the impact of mergers and the effect of Netflix ad carriage on prices for linear television advertising. We then extend our analysis to social media markets where we find evidence of a premium for older audiences (who multi-home less), and we discuss implications for competition across ad formats.

Suggested Citation

  • Matthew Gentzkow & Jesse M. Shapiro & Frank Yang & Ali Yurukoglu, 2022. "Pricing Power in Advertising Markets: Theory and Evidence," NBER Working Papers 30278, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:30278
    Note: IO
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w30278.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guy Aridor & Rafael Jiménez-Durán & Ro'ee Levy & Lena Song, 2024. "The Economics of Social Media," CESifo Working Paper Series 10934, CESifo.
    2. Guy Aridor & Yeon-Koo Che, 2024. "Privacy Regulation and Targeted Advertising: Evidence from Apple’s App Tracking Transparency," CESifo Working Paper Series 10928, CESifo.
    3. Bisceglia, Michele, 2023. "The unbundling of journalism," European Economic Review, Elsevier, vol. 158(C).

    More about this item

    JEL classification:

    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:30278. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.