The Impact of the U.S. Census Disclosure Avoidance System on Redistricting and Voting Rights Analysis.

Christopher T Kenny, Shiro Kuriwaki, Cory McCartan, Evan T. R. Rosenman, Tyler Simko, Kosuke Imai

Type: Preprint

Publication Date: 2021-05-29

Citations: 7

Locations

arXiv (Cornell University) - View

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+	Assessing Statistical Disclosure Risk for Differentially Private, Hierarchical Count Data, With Application to the 2020 U. S. Decennial Census	2023	Zeki Kazan Jerome P. Reiter
+	Making Differential Privacy Work for Census Data Users	2023	Cory McCartan Tyler Simko Kosuke Imai
+	The 2020 U.S. Census Differential Privacy Method Introduces Disproportionate Discrepancies for Rural and Non-White Populations	2021	J. Tom Mueller Alexis R. Santos‐Lozada

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+ PDF Chat	Recombination: A Family of Markov Chains for Redistricting	2021	Daryl DeFord Moon Duchin Justin Solomon
+	Census TopDown: The Impacts of Differential Privacy on Redistricting	2022	Aloni Cohen Moon Duchin J N Matthews Bhushan Suwal
+ PDF Chat	Quantifying Gerrymandering in North Carolina	2020	Gregory Herschlag Han Sung Kang Justin Luo Christy V. Graves Sachet Bangia Robert Ravier Jonathan C. Mattingly
+	Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans	2020	Cory McCartan Kosuke Imai