Tecnologie digitali, mercati efficienti e sostenibilità sociale
Pelligra, Vittorio
2020-01-01
Abstract
In this short essay, we explore the effects that new technologies connected to big data and micro-targeting can have on the efficiency and fairness of the markets. The algorithmic consumer price discrimination activities consist of using granular profiling data to estimate the reservation price of individual consumers in a way as accurate as never before in history. Knowing the value of the reservation prices allows producers to extract all the surplus from the demand side and to transfer it to the supply side. The market continues to produce gains from trade and, therefore, wealth, although they may be, now, distributed in an increasingly asymmetrical and unequal way. We discuss the technical assumptions, the methods used, the consequences in terms of efficiency, the possible forms of regulation of this type of activity. Finally, we hope to open an extensive and informed public debate on the issue, given that such an essential change in the logic of the market itself can seriously compromise that socio-economic pact of mutual advantage on which liberal democracies are based.File | Dimensione | Formato | |
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