A Survey on Data Pricing: from Economics to Data Science

Jian Pei

Papers from arXiv.org

Abstract: Data are invaluable. How can we assess the value of data objectively, systematically and quantitatively? Pricing data, or information goods in general, has been studied and practiced in dispersed areas and principles, such as economics, marketing, electronic commerce, data management, data mining and machine learning. In this article, we present a unified, interdisciplinary and comprehensive overview of this important direction. We examine various motivations behind data pricing, understand the economics of data pricing and review the development and evolution of pricing models according to a series of fundamental principles. We discuss both digital products and data products. We also consider a series of challenges and directions for future work.

Date: 2020-09, Revised 2020-11
New Economics Papers: this item is included in nep-big and nep-pay
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Citations: View citations in EconPapers (3)

Published in IEEE Transactions on Knowledge and Data Engineering, 2021

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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2009.04462

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