From Mad Men to Maths Men: Concentration and Buyer Power in Online Advertising
Francesco Decarolis and
Gabriele Rovigatti
No 13897, CEPR Discussion Papers from Centre for Economic Policy Research
Abstract:
This paper analyzes the impact of intermediary concentration on the allocation of revenues in online platforms. We study sponsored search documenting how advertisers increasingly bid through a handful of specialized intermediaries. This enhances automated bidding and data pooling, but lessens competition whenever the intermediary represents competing advertisers. Using data on nearly 40 million Google keyword auctions, we first apply machine learning algorithms to cluster keywords into thematic groups serving as relevant markets. Using an instrumental variable strategy, we estimate a decline in the platform's revenues of approximately 11 percent due to the average rise in concentration associated with intermediary M&A activity.
Keywords: Buyer power; Concentration; Online advertising; Platforms; Sponsored search (search for similar items in EconPapers)
JEL-codes: C72 D44 L81 (search for similar items in EconPapers)
Date: 2019-07
New Economics Papers: this item is included in nep-big, nep-com, nep-ict and nep-pay
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
https://cepr.org/publications/DP13897 (application/pdf)
Related works:
Journal Article: From Mad Men to Maths Men: Concentration and Buyer Power in Online Advertising (2021) 
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:cpr:ceprdp:13897
Ordering information: This working paper can be ordered from
https://cepr.org/publications/DP13897
Access Statistics for this paper
More papers in CEPR Discussion Papers from Centre for Economic Policy Research 33 Great Sutton Street, London EC1V 0DX, UK.
Bibliographic data for series maintained by CEPR ().