Cornell University
Library
Cornell UniversityLibrary

eCommons

Help
Log In(current)
DigitalCollections@ILR
ILR School
  1. Home
  2. ILR School
  3. Centers, Institutes, Programs
  4. Labor Dynamics Institute
  5. Presentations by the Labor Dynamics Institute
  6. Why the Economics Profession Cannot Cede the Discussion of Privacy Protection to Computer Scientists

Why the Economics Profession Cannot Cede the Discussion of Privacy Protection to Computer Scientists

File(s)
2019-01-05a-Abowd Why the Economics Profession Cannot Cede the Discussion of Privacy Protection to Computer Scientists.pdf (237.38 KB)
PDF version of presentation
2019-01-05a-Abowd Why the Economics Profession Cannot Cede the Discussion of Privacy Protection to Computer Scientists.pptx (125.6 KB)
Presentation in PowerPoint File
Permanent Link(s)
https://hdl.handle.net/1813/60836
Collections
Presentations by the Labor Dynamics Institute
Author
Abowd, John M.
Schmutte, Ian M.
Sexton, William N.
Vilhuber, Lars
Abstract

When Google or the U.S. Census Bureau publish detailed statistics on browsing habits or neighborhood characteristics, some privacy is lost for everybody while supplying public information. To date, economists have not focused on the privacy loss inherent in data publication. In their stead, these issues have been advanced almost exclusively by computer scientists who are primarily interested in technical problems associated with protecting privacy. Economists should join the discussion, first, to determine where to balance privacy protection against data quality; a social choice problem. Furthermore, economists must ensure new privacy models preserve the validity of public data for economic research.

Description
Presented at the Allied Social Science Association meeting 2019 in the session "The Future of Economic Research Under Rising Risks and Costs of Information Disclosure",
Saturday, Jan. 5, 2019, 2:30 PM - 4:30 PM

https://www.aeaweb.org/conference/2019/preliminary/851
Sponsorship
This research was partially funded through NSF Grant #1131848 (NCRN) and Alfred P. Sloan Foundation Grant G-2015-13903. The views expressed in this presentation are those of the authors and not those of the U.S. Census Bureau or other sponsors.
Date Issued
2019-01-05
Publisher
Presented at the Allied Social Science Association Meeting 2019
Keywords
privacy
•
disclosure
•
statistical disclosure limitation
Related Version
Full paper forthcoming in the American Economic Review Papers and Proceedings (2019)
Rights
Attribution-NonCommercial-ShareAlike 4.0 International
Rights URI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Type
presentation

Site Statistics | Help

About eCommons | Policies | Terms of use | Contact Us

copyright © 2002-2026 Cornell University Library | Privacy | Web Accessibility Assistance