This collection contains presentations made by faculty, staff, members, and guests of the Labor Dynamics Institute.

Recent Submissions

  • Utility of two synthetic data sets mediated through a validation server: Experience with the Cornell Synthetic Data Server 

    Vilhuber, Lars (2019-08-13)
    The SDS at Cornell University was set up to provide early access to new synthetic data products by the U.S. Census Bureau. These datasets are made available to interested researchers in a controlled environment, prior ...
  • Stepping-up: The Census Bureau Tries to Be a Good Data Steward in the 21stCentury 

    Abowd, John M. (2019-03-04)
    The Fundamental Law of Information Reconstruction, a.k.a. the Database Reconstruction Theorem, exposes a vulnerability in the way statistical agencies have traditionally published data. But it also exposes the same ...
  • The Reproducibility of Economics Research: A Case Study 

    Kingi, Hautahi; Vilhuber, Lars; Herbert, Sylverie; Stanchi, Flavio (Presented at the BITSS Annual Meeting 2018 and available at the Open Science Foundation website, 2018-12-10)
    Published reproductions or replications of economics research are rare. However, recent years have seen increased recognition of the important role of replication in the scientific endeavor. We describe and ...
  • Why the Economics Profession Cannot Cede the Discussion of Privacy Protection to Computer Scientists 

    Abowd, John M.; Schmutte, Ian M.; Sexton, William N.; Vilhuber, Lars (Presented at the Allied Social Science Association Meeting 2019, 2019-01-05)
    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 ...
  • Reproducibility Confidentiality Data Access 

    Vilhuber, Lars (Presented at the 2018 ADRF Network Research Conference and available at the University of Pennsylvania Scholarly Commons., 2018-11)
    The recent concern about the reproducibility of research results has not yet been robustly incorporated into methods of providing and accessing administrative data, casting doubts on the validity of research based on such ...
  • Presentation: The U.S. Census Bureau Adopts Differential Privacy 

    Abowd, John M. (KDD '18 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, London, UK, 2018-08)
    The U.S. Census Bureau announced, via its Scientific Advisory Committee, that it would protect the publications of the 2018 End-to-End Census Test (E2E) using differential privacy. The E2E test is a dress rehearsal for the ...
  • What Is a Privacy-Loss Budget and How Is It Used to Design Privacy Protection for a Confidential Database? 

    Abowd, John M. (2018-02-01)
    Webinar for Privacy Day 2018, Sponsored by the ASA Committee on Privacy and Confidentiality. For statistical agencies, the Big Bang event in disclosure avoidance occurred in 2003 when Irit Dinur and Kobbi Nissim, two ...
  • Confidentiality Protection and Physical Safeguards (LatAm version) 

    Vilhuber, Lars (2017-06-07)
    Confidentiality protection is a multi-layered concept, involving statistical (cryptographic) methods and physical safeguards. When providing access to researchers (both internal to the agency and external academic), a ...
  • Excerpt: Usage and outcomes of the Synthetic Data Server 

    Vilhuber, Lars; Abowd, John M. (2017-05-09)
    This is an excerpt from a prior presentation at the Society of Labor Economists (2016). The Synthetic Data Server (SDS) at Cornell University was set up to provide early access to new synthetic data products by the U.S. ...
  • Confidentiality of the SynLBD 

    Vilhuber, Lars; Kinney, Saki (2017-05-09)
    We describe the confidentiality protection provided by the SynLBD. The presentation was originally prepared by Saki Kinney for the World Statistics Congress 2013.

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