Data sharing under confidentiality

Date

2018-08-31

Author

Başer, Erdem
Hülagu, Timur
Akyıldız, Ersan
Bilgen, Adnan
Cenk, Murat
Keskinkurt-paksoy, İrem
Kestel, Sevtap Ayşe

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Central Bank of the Republic of Turkey presents an approach to address the data sharing dilemma of maximizing the benefit for academic research while ensuring compliance with applicable data confidentiality legislations. The work in this paper compares the performance of different perturbation methods. Empirical estimates are presented over a wide range of statistical methods. The results in the paper are expected to be used to inform the design of access procedures to confidential microdata in central banks.

Subject Keywords

Data perturbation, Accuracy, privacy, Financial dataset

URI

https://www.bis.org/ifc/publ/ifcb49.pdf
https://hdl.handle.net/11511/72961

Conference Name

Ninth IFC Conference (30 - 31 Ağustos 2018,)

Collections

Department of Mathematics, Conference / Seminar

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Citation Formats

E. Başer et al., “Data sharing under confidentiality,” Basel, İsviçre, 2018, p. 1057, Accessed: 00, 2021. [Online]. Available: https://www.bis.org/ifc/publ/ifcb49.pdf.