Deterring online advertising fraud through optimal payment in arrears
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Author
Contributions
- Harvard Business School - Contributor
Publication
2008 - Harvard Business School, Boston, Massachusetts
Language
English
Word Count
5,000 words, Guess
Page Count
20 pages
Identifiers
- OCLC Control Number419889504
- Open LibraryOL49971005M
Description
I develop a screening model with delayed payments and probabilistic delayed observation of agents' types. I derive conditions in which a principal can set its payment delay to deter rogue agents and to attract solely or primarily good-type agents. Through the savings from excluding rogue agents, the principal can increase its profits while offering increased payments to good agents. I apply the model to online advertising markets widely perceived to be a hotbed for fraud. I estimate that a leading affiliate network could have invoked an optimal payment delay to eliminate 71% of fraud without decreasing profit.
Subjects
Series Statement
- Working paper / Harvard Business School -- 08-072
Other Editions
- Deterring online advertising fraud through optimal payment in arrears
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