Data Privacy and Temptation

Zhuang Liu, Michael Sockin and Wei Xiong

No 27653, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: This paper derives a preference for data privacy from consumers' temptation utility. This approach facilitates a welfare analysis of different data privacy regulations, such as the GDPR enacted by the European Union and the CCPA enacted by the state of California, when a fraction of the consumers may succumb to targeted advertising of temptation goods. While sharing consumer data with firms improves firms' matching efficiency of normal consumption goods, it also exposes weak-willed consumers to temptation goods. Despite that the GDPR and the CCPA give each consumer the choice to opt in or out of data sharing, these regulations may not provide sufficient protection for severely tempted consumers because of a negative externality in which the opt-in decision of some consumers reduces the anonymity of those who opt out. Our analysis also shows that the default choices instituted by the GDPR and the CCPA can lead to sharply different outcomes.

JEL-codes: D03 D62 M15 (search for similar items in EconPapers)
Date: 2020-08
New Economics Papers: this item is included in nep-upt
Note: AP CF IO LE
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Citations: View citations in EconPapers (10)

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