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J. Abowd · SciRah

Researcher profile · Semantic Scholar

J. Abowd

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J. Abowd — researcher profile on SciRah

h-index: 43
Works: 265
Citations: 10K

Most-cited papers

How much do immigration and trade affect labor market outcomes?
G. Borjas, Richard B. Freeman, Lawrence F. Katz, John E. DiNardo +1 more
2021Brookings papers on economic activity981 citations Open access
Semantic Scholar
The U.S. Census Bureau Adopts Differential Privacy
J. Abowd
2018Knowledge Discovery and Data Mining488 citations Open access
Semantic Scholar
The Review of Economics and Statistics
J. Abowd, M. Stinson
2013150 citations
Semantic Scholar
An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices
J. Abowd, I. Schmutte
2018The American Economic Review148 citations Open access
Semantic Scholar
Issues Encountered Deploying Differential Privacy
S. Garfinkel, J. Abowd, Sarah Powazek
2018WPES@CCS128 citations Open access
Semantic Scholar
Understanding database reconstruction attacks on public data
S. Garfinkel, J. Abowd, Chris Martindale
2019Communications of the ACM118 citations
Semantic Scholar
Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics
Samuel Haney, Ashwin Machanavajjhala, J. Abowd, Matthew Graham +2 more
2017SIGMOD Conference70 citations Open access
Semantic Scholar
Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data
J. Abowd, Kevin McKinney, Nellie Zhao
2018Journal of Labor Economics65 citations Open access
Semantic Scholar
Persistent inter‐industry wage differences: rent sharing and opportunity costs
J. Abowd, F. Kramarz, Paul A. Lengermann, Kevin McKinney +1 more
201252 citations Open access
Semantic Scholar
Modeling Endogenous Mobility in Earnings Determination
J. Abowd, Kevin McKinney, I. Schmutte
2018Journal of business & economic statistics37 citations Open access
Semantic Scholar
Economic Analysis and Statistical Disclosure Limitation
J. Abowd, I. Schmutte
201635 citations Open access
Semantic Scholar
Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation
J. Abowd, Matthew J. Schneider, L. Vilhuber
2013Journal of Privacy and Confidentiality27 citations Open access
Semantic Scholar
NCRN Meeting Spring 2015: Revisiting the Economics of Privacy: Population Statistics and Confidentiality Protection as Public Goods
J. Abowd, I. Schmutte
201519 citations
Semantic Scholar
Data Quality Issues
J. Abowd, J. Haltiwanger, B. Stephens
201519 citations Open access
Semantic Scholar
How Will Statistical Agencies Operate When All Data Are Private?
J. Abowd
2017Journal of Privacy and Confidentiality17 citations Open access
Semantic Scholar
Understanding Database Reconstruction Attacks on Public Data
S. Garfinkel, J. Abowd, Chris Martindale
2018Queue12 citations Open access
Semantic Scholar
Data Management of Confidential Data
C. Lagoze, William C. Block, Jeremy Williams, J. Abowd +1 more
2013International Journal of Digital Curation12 citations Open access
Semantic Scholar
Presentation: Did the Housing Price Bubble Clobber Local Labor Market Job and Worker Flows When It Burst?
J. Abowd, L. Vilhuber
201212 citations Open access
Semantic Scholar
Total Error and Variability Measures for the Quarterly Workforce Indicators and Lehd Origin-Destination Employment Statistics in Onthemap
Kevin McKinney, Andrew S. Green, L. Vilhuber, J. Abowd
202010 citations Open access
Semantic Scholar
Privacy-Preserving Data Analysis for the Federal Statistical Agencies
J. Abowd, L. Alvisi, C. Dwork, Sampath Kannan +2 more
2017arXiv.org10 citations
Semantic Scholar
Synthetic establishment microdata around the world
L. Vilhuber, J. Abowd, J. Reiter
201610 citations Open access
Semantic Scholar
Database reconstruction does compromise confidentiality
S. Keller, J. Abowd
2023Proceedings of the National Academy of Sciences of the United States of America8 citations Open access
Semantic Scholar
Male Earnings Volatility in LEHD before, during, and after the Great Recession
Kevin McKinney, J. Abowd
2020Journal of business & economic statistics8 citations Open access
Semantic Scholar
Optimal Probabilistic Record Linkage: Best Practice for Linking Employers in Survey and Administrative Data
J. Abowd, J. Abramowitz, Margaret C. Levenstein, Kristin McCue +5 more
20198 citations
Semantic Scholar
Disclosure Limitation and Confidentiality Protection in Linked Data
J. Abowd, I. Schmutte, L. Vilhuber
2021Administrative Records for Survey Methodology7 citations Open access
Semantic Scholar
Why the Economics Profession Must Actively Participate in the Privacy Protection Debate
J. Abowd, I. Schmutte, William Sexton, L. Vilhuber
2019AEA Papers and Proceedings7 citations Open access
Semantic Scholar
21st Century Statistical Disclosure Limitation: Motivations and Challenges
J. Abowd, Michael B. Hawes
2023arXiv.org5 citations Open access
Semantic Scholar
Effects of a Government-Academic Partnership: Has the NSF-CENSUS Bureau Research Network Helped Improve the US Statistical System?
Daniel H. Weinberg, J. Abowd, R. Belli, N. Cressie +12 more
2018Journal of Survey Statistics and Methodology5 citations Open access
Semantic Scholar
Total Error and Variability Measures with Integrated Disclosure Limitation for Quarterly Workforce Indicators and LEHD Origin Destination Employment Statistics in OnThe Map
Kevin McKinney, Andrew S. Green, L. Vilhuber, J. Abowd
20175 citations
Semantic Scholar
Why Statistical Agencies Need to Take Privacy-loss Budgets Seriously, and What It Means When They Do
J. Abowd
20165 citations
Semantic Scholar
Proceedings of the First Workshop on Trustworthy Natural Language Processing
Zheng Tang, M. Surdeanu, M. A. Valenzuela-Escarcega, Ö. Babur +496 more
20214 citations Open access
Semantic Scholar
Dynamically consistent noise infusion and partially synthetic data as confdentiality protection measures for related time-series
J. Abowd, Kaj Gittings, Kevin McKinney, B. Stephens +2 more
20154 citations
Semantic Scholar
Diﬀerentially Private Methods for Validation Servers
Andrés F. Barrientos, Aaron R. Williams, C. Bowen, J. Abowd +19 more
20213 citations
Semantic Scholar
Large-scale Data Linkage from Multiple Sources: Methodology and Research Challenges
J. Abowd
20173 citations
Semantic Scholar
Encoding Provenance of Social Science Data: Integrating PROV with DDI
C. Lagoze, William C. Block, Jeremy Williams, J. Abowd +1 more
20133 citations
Semantic Scholar
Effects of a Government-Academic Partnership: Has the NSF-Census Bureau Research Network Helped Secure the Future of the Federal Statistical System?
Daniel H. Weinberg, J. Abowd, R. Belli, N. Cressie +12 more
20172 citations
Semantic Scholar
Excerpt: Usage and outcomes of the Synthetic Data Server
L. Vilhuber, J. Abowd
20172 citations
Semantic Scholar
Session 14: Usage and outcomes of the Synthetic Data Server
L. Vilhuber, J. Abowd
20162 citations
Semantic Scholar
Presentation: Revisiting the Economics of Privacy: Population Statistics and Privacy as Public Goods
J. Abowd
20132 citations
Semantic Scholar
Launching the Society for Privacy and Confidentiality Research to Own the Journal of Privacy and Confidentiality
J. Abowd, Cynthia Dwork, Alan F. Karr, K. Nissim +3 more
2024Journal of Privacy and Confidentiality1 citations Open access
Semantic Scholar
Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods
J. Abowd, I. Schmutte, William Sexton, L. Vilhuber
2019arXiv.org1 citations
Semantic Scholar
Four Challenges for Statistical Agencies
J. Abowd
20161 citations
Semantic Scholar
Presentation: NCRN Fall 2015: Formal Privacy Protection for Data Products Combining Individual and Employer Frames
J. Abowd, Samuel Haney, Ashwin Machanavajjhala, Mark J. Kutzbach +2 more
20151 citations
Semantic Scholar
Synthetic establishment data: Origins and introduction to current research
J. Abowd
2014Statistical Journal of the IAOS1 citations
Semantic Scholar
Presentation: Endogenous Mobility
J. Abowd, I. Schmutte
20121 citations
Semantic Scholar
Mixed-Effects Methods for Search and Matching Research
J. Abowd, Kevin McKinney
2023Revue économique0 citations Open access
Semantic Scholar
Measuring race in US economic statistics: what do we know?
S. Waddell, J. Abowd, Camille M. Busette, M. López
2022Business Economics0 citations Open access
Semantic Scholar
United States Earnings Dynamics: Inequality, Mobility, and Volatility
Kevin McKinney, J. Abowd, J. Sabelhaus
20200 citations
Semantic Scholar
Differential Privacy in the Real World: The 2018 End-to-End Census Test
J. Abowd
20190 citations
Semantic Scholar
What Is a Privacy-Loss Budget and How Is It Used to Design Privacy Protection for a Confidential Database?
J. Abowd
20180 citations
Semantic Scholar

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