 Risk, trust, and altruism in genetic data sharingZeeshan Samad, Myrna Wooders, Bradley Malin and Yevgeniy Vorobeychik Journal of Public Economic Theory, 2023, vol. 25, issue 6, 1251-1269 Abstract: How does concern about genetic data privacy compare with other concerns? We conduct behavioral experiments to compare risk attitudes towards sharing genetic data with a healthcare provider with risk attitudes towards sharing financial data with a money manager. Both scenarios involve identical decisions and monetary stakes, permitting us to focus on how the framing of data sharing influences attitudes. To delve deeper into individual motivations to share data, we provide treatments that study how data sharers' altruism and trust affect their decisions. Our findings (with 162 subjects) indicate that individuals are more willing to risk a loss to privacy of genetic data (for an anticipated return framed as health benefits) than they are to risk loss of financial data (for an anticipated return in financial benefits). We also find that 50%–60% of data recipients choose to protect another person's data, with no significant differences between frames. Date: 2023 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:jpbect:v:25:y:2023:i:6:p:1251-1269 Ordering information: This journal article can be ordered from Access Statistics for this article Journal of Public Economic Theory is currently edited by Rabah Amir, Gareth Myles and Myrna Wooders More articles in Journal of Public Economic Theory from Association for Public Economic Theory Contact information at EDIRC. |
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