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Big Data, Competition and Relevant Markets

Listed author(s):
  • Marco GAMBARO

    ()

Big data are considered ate same time a promising driver of economic development and a concern for possible manipulation and privacy intrusion. Data diffusion and their uncertain appropriability can make property rights for data less precise. The paper reviews some economic features of data. In many digital markets data can be considered a relevant input but hardly an essential facility. Many data are collected in two-sided market platform and in one side they are used to personalize services and to add quality while on the other side of the platform they contribute to make advertising collection more efficient. So the transfer of personal data can be considered an implicit price for many free information services. Consumers usually are unaware of subsequent pervasive use of their personal data, and therefore give away easily their data. Big data can amplify competitive advantages and related dominant positions, leveraging on information asymmetries. A dominant position obtained through collection and processing of big amount of personal data allow practices such as first degree price discrimination, personalized advertising, artificial degradation of services that sometimes can be considered competitive abuse, but it is difficult that data alone allow such position.

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File URL: http://wp.demm.unimi.it/files/wp/2017/DEMM-2017_15wp.pdf
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Paper provided by Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano in its series Departmental Working Papers with number 2017-15.

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Date of creation: 19 Oct 2017
Handle: RePEc:mil:wpdepa:2017-15
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