31 to 40 of 80 Results
May 1, 2023 - Harvard Dataverse
Rosenman, Evan T. R.; Olivella, Santiago; Imai, Kosuke, 2023, "Replication Data for: Race and ethnicity data for first, middle, and surnames", https://doi.org/10.7910/DVN/YL2OXB, Harvard Dataverse, V1, UNF:6:XymhQa4pliNMYOGt+RFHtw== [fileUNF]
This repository contains code to replicate each of the figures included in "Race and ethnicity data for first, middle, and surnames" by Rosenman, Olivella, and Imai. To run |
Apr 11, 2023 - Harvard Dataverse
Rosenman, Evan; Olivella, Santiago; Imai, Kosuke, 2022, "Race and ethnicity data for first, middle, and last names", https://doi.org/10.7910/DVN/SGKW0K, Harvard Dataverse, V9, UNF:6:Z4OdPbRiTIYpwYm8CCktow== [fileUNF]
We provide datasets that that estimate the racial distributions associated with first, middle, and last names in the United States. The datasets cover five racial categories: White, Black, Hispanic, Asian, and Other. The provided data are computed from the voter files of six Southern states -- Alabama, Florida, Georgia, Louisiana, North Carolina, a... |
Mar 31, 2023 - Algorithm-Assisted Redistricting Methodology (ALARM) Project
Kenny, Christopher; McCartan, Cory; Simko, Tyler; Kuriwaki, Shiro; Imai, Kosuke, 2023, "Replication Data for: Widespread Partisan Gerrymandering Mostly Cancels Nationally, but Reduces Electoral Competition", https://doi.org/10.7910/DVN/JI1U8X, Harvard Dataverse, V1, UNF:6:nYlhzGaxtdVnHl7IeCQbCA== [fileUNF]
Congressional district lines in many U.S. states are drawn by partisan actors, raising concerns about gerrymandering. To separate the partisan effects of redistricting from the effects of other factors including geography and redistricting rules, we compare possible party compositions of the U.S. House under the enacted plan to those under a set of... |
Mar 15, 2023 - Harvard Dataverse
Imai, Kosuke; Jiang, Zhichao; Greiner, D. James; Halen, Ryan; Shin, Sooahn, 2023, "Replication Data for: Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment", https://doi.org/10.7910/DVN/L0NHQU, Harvard Dataverse, V1
aihuman is an R package which provides statistical methods for analyzing experimental evaluation of the causal impacts of algorithmic recommendations on human decisions developed by Imai, Jiang, Greiner, Halen, and Shin (2023) . The data used for this paper, and made available here, are interim, based on only half of the observations in the study a... |
Mar 6, 2023 - Harvard Dataverse
McCartan, Cory; Imai, Kosuke, 2023, "Replication Data for: Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans", https://doi.org/10.7910/DVN/O38OCG, Harvard Dataverse, V1
Random sampling of graph partitions under constraints has become a popular tool for evaluating legislative redistricting plans. Analysts detect partisan gerrymandering by comparing a proposed redistricting plan with an ensemble of sampled alternative plans. For successful application, sampling methods must scale to maps with a moderate or large num... |
Eshima, Shusei; Imai, Kosuke; Sasaki, Tomoya, 2023, "Replication Data for: Keyword Assisted Topic Models", https://doi.org/10.7910/DVN/RKNNVL, Harvard Dataverse, V1, UNF:6:mSypW/BIZWMxClnGa/WfRg== [fileUNF]
In recent years, fully automated content analysis based on probabilistic topic models has become popular among social scientists because of their scalability. The unsupervised nature of the models makes them suitable for exploring topics in a corpus without prior knowledge. However, researchers find that these models often fail to measure specific... |
Jiang, Zhichao; Imai, Kosuke; Malani, Anup, 2022, "Replication Data for: Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments", https://doi.org/10.7910/DVN/GASZXA, Harvard Dataverse, V1
Replication files for ``Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments'' See the readme file for more details. |
Sep 1, 2022 - Political Analysis Dataverse
Tarr, Alex; Imai, Kosuke; Hwang, June, 2022, "Replication Data for: Automated Coding of Political Campaign Advertisement Videos: An Empirical Validation Study", https://doi.org/10.7910/DVN/6SWKPR, Harvard Dataverse, V1
Video advertisements, either through television or the Internet, play an essential role in modern political campaigns. For over two decades, researchers have studied television video ads by analyzing the hand-coded data from the Wisconsin Advertising Project and its successor, the Wesleyan Media Project (WMP). Unfortunately, manually coding more th... |
Kenny, Christopher T.; Kuriwaki, Shiro; McCartan, Cory; Rosenman, Evan; Simko, Tyler; Kosuke, Imai, 2021, "Replication Data for: The use of differential privacy for census data and its impact on redistricting: The case of the 2020 U.S. Census", https://doi.org/10.7910/DVN/TNNSXG, Harvard Dataverse, V4
Census statistics play a key role in public policy decisions and social science research. However, given the risk of revealing individual information, many statistical agencies are considering disclosure control methods based on differential privacy, which add noise to tabulated data. Unlike other applications of differential privacy, however, cens... |
Jan 3, 2022 - Harvard Dataverse
Fan, Jianqing; Imai, Kosuke; Lee, Inbeom; Liu, Han; Ning, Yang; Yang, Xiaolin, 2022, "Replication Data for: Optimal Covariate Balancing Conditions in Propensity Score Estimation", https://doi.org/10.7910/DVN/I4JBQQ, Harvard Dataverse, V1
Code required for reproducing all results reported in "Optimal Covariate Balancing Conditions in Propensity Score Estimation". |
