The partial data barter trades of the digital economy | Brookings
This article challenges the prevailing narrative that companies secretly steal consumer data, arguing instead that firms are actively paying for information through price discounts and free services. This concept, termed "partial data barter," suggests that when consumers receive lower prices in exchange for their personal information, they are effectively compensated for this exchange. Consequently, the common perception of a data economy based on exploitation is misleading, as many digital goods are subsidized by the value of the data consumers provide, creating a transparent economic transaction rather than theft. The implications for economic measurement and competition are significant. Because standard metrics like GDP rely on monetary prices, they fail to account for the value derived from data barter, leading to a substantial underestimation of economic activity and consumer welfare. Furthermore, traditional measures of firm market power may be inaccurate if they ignore the non-monetary benefits firms gain from data collection. Recognizing this hidden value is crucial for understanding the true scale of the digital economy and assessing the actual competitive advantages held by data-intensive corporations. Regarding open data and privacy policy, the authors argue that prohibitive regulations like GDPR may inadvertently reduce product quality and consumer choice by preventing firms from offering differentiated services. Instead of banning data usage, policy should focus on transparency and differential pricing, allowing consumers to explicitly choose between paying with money or with data. This approach aligns with open data principles by promoting informed consent and market efficiency, ensuring that privacy-conscious individuals can maintain anonymity while others benefit from lower costs through data sharing.
Source: brookings.eduPublished on 2024-04-18