Dataverse of the Algorithm-Assisted Redistricting Methodology (ALARM) Project
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Replication data for "Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods"
Nov 5, 2024
Kenny, Christopher; McCartan, Cory; Kuriwaki, Shiro; Simko, Tyler; Imai, Kosuke, 2024, "Replication data for "Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods"", https://doi.org/10.7910/DVN/TMIN3H, Harvard Dataverse, V3
The United States Census Bureau faces a difficult trade-off between the accuracy of Census statistics and the protection of individual information. We conduct the first independent evaluation of bias and noise induced by the Bureau's two main disclosure avoidance systems: the TopDown algorithm employed for the 2020 Census and the swapping algorithm...
00_README.md
Nov 5, 2024 - Replication data for "Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods"
Markdown Text - 1.2 KB - MD5: 9c732c8b483a6d26aeb15743e423f05d
Documentation
Top-level README
00_setup.R
Nov 5, 2024 - Replication data for "Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods"
R Syntax - 2.4 KB - MD5: 2d911a1ff5ecc249258bbfb96b9ed3f8
01_create_db.R
Nov 5, 2024 - Replication data for "Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods"
R Syntax - 2.7 KB - MD5: 9be31c4601b423d9826c6a67dec03626
02_fig-01_pop-error.R
Nov 5, 2024 - Replication data for "Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods"
R Syntax - 12.2 KB - MD5: ef31d85af848680db2ca1fa2c1889c46
03_fig-02_racepop-rmse.R
Nov 5, 2024 - Replication data for "Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods"
R Syntax - 3.9 KB - MD5: 13c5fd3c0955c12dd345aca0a42d910b
04_fig-03-04_pop-bias-rmse_by-totpop.R
Nov 5, 2024 - Replication data for "Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods"
R Syntax - 8.0 KB - MD5: 649b9703cbaf8a6fadf8b8a9ff86240d
05_fig-05_noisy-reg_lpme.R
Nov 5, 2024 - Replication data for "Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods"
R Syntax - 5.7 KB - MD5: 821e6fa1c007b2856368faf179f8d625
07_tda_corr.R
Nov 5, 2024 - Replication data for "Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods"
R Syntax - 1.5 KB - MD5: 15c2d8a27d3c05104880c0bf181ccfae
d_natl.rds
Nov 5, 2024 - Replication data for "Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods"
Unknown - 35.2 MB - MD5: 877eedb1d6fe8e4904ab62b2d2de8904
Data
Cleaned rectangular dataset for most figures and tables
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