• Medientyp: E-Book
  • Titel: Data Privacy and Temptation
  • Beteiligte: Liu, Zhuang [VerfasserIn]; Sockin, Michael [Sonstige Person, Familie und Körperschaft]; Xiong, Wei [Sonstige Person, Familie und Körperschaft]
  • Körperschaft: National Bureau of Economic Research
  • Erschienen: Cambridge, Mass: National Bureau of Economic Research, 2020
  • Erschienen in: NBER working paper series ; no. w27653
  • Umfang: 1 Online-Ressource; illustrations (black and white)
  • Sprache: Englisch
  • DOI: 10.3386/w27653
  • Identifikator:
  • Reproduktionsnotiz: Hardcopy version available to institutional subscribers
  • Entstehung:
  • Anmerkungen: System requirements: Adobe [Acrobat] Reader required for PDF files
    Mode of access: World Wide Web
  • Beschreibung: 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
  • Zugangsstatus: Freier Zugang