The Sale of Data:Learning Synergies Before M&As

Antoine Dubus and Patrick Legros

No 2022-20, Working Papers ECARES from ULB -- Universite Libre de Bruxelles

Abstract: Firms may share information to discover potential synergies between their data sets and algorithms, which eventually may lead to more efficient mergers and acquisitions (M&A) decisions. However, as pointed out by Arrow, information sharing also modifies the competitive balance when companies do not merge, and a firm may be reluctant to share information with potential rivals. Under general conditions, we show that firms benefit from (partially) sharing information. Because more sharing of information may increase industry expected profits both when there is head-to-head competition and when there is an M&A, the presence of a regulator who can prevent or allow the M&A can decrease or increase the level of information sharing, as well as consumer surplus, with respect to the no-regulator case. A regulator who can also control the level of information sharing will allow firms to share information.

Keywords: synergies; mergers; sale of data; incomplete information; antitrust; privacy (search for similar items in EconPapers)
Pages: 46 p.
Date: 2022-06
New Economics Papers: this item is included in nep-bec, nep-com, nep-dem, nep-ind, nep-mic and nep-reg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Related works:
Working Paper: The Sale of Data: Learning Synergies Before M&As (2024)
Working Paper: The Sale of Data: Learning Synergies Before M&As (2022)
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