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The US Census Bureau plans to protect the privacy of 2020 Census respondents through its Disclosure Avoidance System (DAS), which attempts to achieve differential privacy guarantees by adding noise to the Census microdata.
Ecological regressions and behavior of individuals
Leo A. Goodman · 1953
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Measures of Concentration
Gideon Rosenbluth · 1955
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Standing and misunderstanding in voting rights law
Samuel Issacharoff and Pamela S. Karlan · 1997
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Ecological Inference: New Methodological Strategies
Gary King, Ori Rosen, and Martin Tanner, editors · 2004
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Use of geocoding and surname analysis to estimate race and ethnicity
Kevin Fiscella and Allen M. Fremont · 2006
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AUC: a misleading measure of the performance of predictive distribution models
Jorge M. Lobo, Alberto Jiménez-Valverde, and Raimundo Real · 2008
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Using the Census Bureau’s surname list to improve estimates of race/ethnicity and associated disparities
Marc N. Elliott, Peter A. Morrison, Allen Fremont, Daniel F. McCaffrey, Philip Pantoja, and Nicole Lurie · 2009
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2010 redistricting deviation table, 2012
National Conference of State Legislatures · 2012
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Unintentional gerrymandering: Political geography and electoral bias in legislatures
Jowei Chen and Jonathan Rodden · 2013
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Cutting through the thicket: Redistricting simulations and the detection of partisan gerrymanders
Jowei Chen and Jonathan Rodden · 2015
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Improving ecological inference by predicting individual ethnicity from voter registration record
Kosuke Imai and Kabir Khanna · 2016
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Frequently occurring surnames from the 2010 Census
United States Census Bureau · 2016
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Using first name information to improve race and ethnicity classification
Ioan Voicu · 2018
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Differential privacy and census data: Implications for social and economic research
Steven Ruggles, Catherine Fitch, Diana Magnuson, and Jonathan Schroeder · 2019
Cited alongside, same era.
A merge-split proposal for reversible Monte Carlo Markov chain sampling of redistricting plans
Daniel Carter, Gregory Herschlag, Zach Hunter, and Jonathan Mattingly · 2019
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Rucho v. Common Cause
Brief of Amici Curiae: Political science professors in support of appellees and affirmance · 2019
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Rucho v. Common Cause
Brief of Amici Curiae: Professors Wesley Pegden, Jonathan Rodden, and Samuel S.-H. Wang in support of appellees · 2019
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The modernization of statistical disclosure limitation at the U.S. Census Bureau
John M. Abowd, Gary L. Benedetto, Simson L. Garfinkel, Scot A. Dahl, Aref N. Dajani, Matthew Graham, Michael B. Hawes, Vishesh Karwa, Daniel Kifer, Hang Kim, Philip Leclerc, Aashwin Machanavajjhala, Jerome P. Reiter, Rolando Rodriguez, Ian M. Schmutte, William N. Sexton, Phyllis E. Singer, and Lars Vilhuber · 2020
Cited alongside, same era.
Proposed U.S. census bureau differential privacy method is biased against rural and non-white populations, Jun 2021
Tom Mueller and Alexis R. Santos-Lozada · 2021
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Recombination: A family of Markov chains for redistricting
Daryl DeFord, Moon Duchin, and Justin Solomon · 2021
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redist: Simulation methods for legislative redistricting
Christopher T. Kenny, Cory McCartan, Ben Fifield, and Kosuke Imai · 2021
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Census TopDown: The Impacts of Differential Privacy on Redistricting
Aloni Cohen, Moon Duchin, JN Matthews, and Bhushan Suwal · 2021
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geomander: Geographic tools for studying gerrymandering
Christopher T. Kenny · 2021
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ppmf: ppmf: Read census privacy protected microdata files, 2021
Christopher T. Kenny · 2021
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2020 Census Data Products: Data Needs and Privacy Considerations, 2020
National Academies of Sciences, Engineering, and Medicine · 2020
Cited alongside, same era.
Disclosure avoidance in the Census Bureau’s 2010 demonstration data product
David Van Riper, Tracy Kugler, and Steven Ruggles · 2020
Cited alongside, same era.
How differential privacy will affect our understanding of health disparities in the United States
Alexis R. Santos-Lozada, Jeffrey T. Howard, and Ashton M. Verdery · 2020
Cited alongside, same era.
Multi-scale merge-split Markov chain Monte Carlo for redistricting
Eric Autry, Daniel Carter, Gregory Herschlag, Zach Hunter, and Jonathan C. Mattingly · 2020
Cited alongside, same era.
Automated redistricting simulator using Markov chain Monte Carlo
Benjamin Fifield, Michael Higgins, Kosuke Imai, and Alexander Tarr · 2020
Cited alongside, same era.
Sequential Monte Carlo for sampling balanced and compact redistricting plans
Cory McCartan and Kosuke Imai · 2020
Cited alongside, same era.
Quantifying gerrymandering in north carolina
Gregory Herschlag, Han Sung Kang, Justin Luo, Christy Vaughn Graves, Sachet Bangia, Robert Ravier, and Jonathan C. Mattingly · 2020
Cited alongside, same era.
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Voting and Election Science Team Dataverse, 2021
VEST · 2021
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Meeting redistricting data requirements: Accuracy targets, 2021
United States Census Bureau · 2021
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censusxy: Access the U.S. Census Bureau’s Geocoding A.P.I. System
Christopher Prener and Branson Fox · 2021
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Creating open source composite geocoders: Pitfalls and opportunities
Christopher Prener and Branson Fox · 2021
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wru: Who are You? Bayesian Prediction of Racial Category Using Surname and Geolocation
Kabir Khanna and Kosuke Imai · 2021
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Affidavit Declaration of John M. Abowd
John M. Abowd · 2021
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