activity
20192023
most citedTeaching for large-scale Reproducibility Verification

16 citations · 39 across the 7 of their papers we have counts for

collaborators

7 papers

stat.AP2023★ 1 cited

A Simulated Reconstruction and Reidentification Attack on the 2010 U.S. Census

John M. Abowd, Tamara Adams, Robert Ashmead +12

We show that individual, confidential microdata records from the 2010 U.S. Census of Population and Housing can be accurately reconstructed from the published tabular summaries. Ni…

stat.AP2023

Assessing Utility of Differential Privacy for RCTs

Kaitlyn R. Webb, Soumya Mukherjee, Aratrika Mustafi +2

Randomized controlled trials (RCTs) have become powerful tools for assessing the impact of interventions and policies in many contexts. They are considered the gold standard for ca…

econ.GN2023★ 11 cited

Reproducibility and Transparency versus Privacy and Confidentiality: Reflections from a Data Editor

Lars Vilhuber

Transparency and reproducibility are often seen in opposition to privacy and confidentiality. Data that need to be kept confidential are seen as an impediment to reproducibility, a…

cs.CY2022★ 16 cited

Teaching for large-scale Reproducibility Verification

Lars Vilhuber, Hyuk Harry Son, Meredith Welch +2

We describe a unique environment in which undergraduate students from various STEM and social science disciplines are trained in data provenance and reproducible methods, and then…

econ.EM2020★ 7 cited

Total Error and Variability Measures for the Quarterly Workforce Indicators and LEHD Origin-Destination Employment Statistics in OnTheMap

Kevin L. McKinney, Andrew S. Green, Lars Vilhuber +1

We report results from the first comprehensive total quality evaluation of five major indicators in the U.S. Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) Program…

econ.EM2020★ 4 cited

Applying Data Synthesis for Longitudinal Business Data across Three Countries

M. Jahangir Alam, Benoit Dostie, Jörg Drechsler +1

Data on businesses collected by statistical agencies are challenging to protect. Many businesses have unique characteristics, and distributions of employment, sales, and profits ar…

econ.TH2019

Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods

John M. Abowd, Ian M. Schmutte, William Sexton +1

With vast databases at their disposal, private tech companies can compete with public statistical agencies to provide population statistics. However, private companies face differe…