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Data brokers co-opetition

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

No 7523, CESifo Working Paper Series from CESifo Group Munich

Abstract: Data brokers collect, manage, and sell customer data. We propose a simple model, in which data brokers sell data to downstream firms. We characterise the optimal strategy of data brokers and highlight the role played by the data structure for co-opetition. If data are “sub-additive”, with the combined value lower than the sum of the values of the two datasets, data brokers share data and sell them jointly. When data are “additive” or “supra- additive”, with the combined value equal to or greater than the sum of the two datasets, data brokers compete. Results are robust to several extensions.

Keywords: data brokers; personal information; privacy; co-opetition (search for similar items in EconPapers)
JEL-codes: D43 L13 L86 M31 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-com, nep-ind and nep-mic
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
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Persistent link: https://EconPapers.repec.org/RePEc:ces:ceswps:_7523

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