EconPapers    
Economics at your fingertips  
 

Data Brokers Co-Opetition

Yiquan Gu, Leonardo Madio () and Carlo Reggiani ()

No 202101, Working Papers from University of Liverpool, Department of Economics

Abstract: Data brokers share consumer data with rivals and, at the same time, compete withthem for selling. We propose a “co-opetition” game of data brokers and characterisetheir optimal strategies. When data are “sub-additive” with the merged value netof the merging cost being lower than the sum of the values of individual datasets,data brokers are more likely to share their data and sell them jointly. When data are“super-additive”, with the merged value being greater than the sum of the individualdatasets, competition emerges more often. Finally, data sharing is more likely whendata brokers are more efficient at merging datasets than data buyers.

Keywords: data brokers; consumer information; co-opetition; data sharing (search for similar items in EconPapers)
JEL-codes: D43 L13 L86 M31 (search for similar items in EconPapers)
Pages: 28 pages
Date: 2021-01
New Economics Papers: this item is included in nep-com, nep-gth, nep-ind and nep-mic
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Forthcoming

Downloads: (external link)
https://www.liverpool.ac.uk/media/livacuk/schoolof ... kers,CoOpetition.pdf First version, 2021 (application/pdf)

Related works:
Working Paper: Data Brokers Co-Opetition (2019) Downloads
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:liv:livedp:202101

Access Statistics for this paper

More papers in Working Papers from University of Liverpool, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Rachel Slater ().

 
Page updated 2021-10-19
Handle: RePEc:liv:livedp:202101