activity
20092023
most citedIdentification, Inference and Sensitivity Analysis for Causal Mediation Effects

1.6k citations · 2.9k across the 36 of their papers we have counts for

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11 papers · 1 filter

stat.AP2023★ 2 cited

A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate

Adeline Lo, Santiago Olivella, Kosuke Imai

Many networks in political and social research are bipartite, with edges connecting exclusively across two distinct types of nodes. A common example includes cosponsorship networks…

stat.AP2023★ 4 cited

Estimating Racial Disparities When Race is Not Observed

Cory McCartan, Robin Fisher, Jacob Goldin +2

The estimation of racial disparities in various fields is often hampered by the lack of individual-level racial information. In many cases, the law prohibits the collection of such…

stat.AP2022★ 9 cited

Comment: The Essential Role of Policy Evaluation for the 2020 Census Disclosure Avoidance System

Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan +3

In "Differential Perspectives: Epistemic Disconnects Surrounding the US Census Bureau's Use of Differential Privacy," boyd and Sarathy argue that empirical evaluations of the Censu…

stat.AP2022★ 25 cited

Simulated redistricting plans for the analysis and evaluation of redistricting in the United States

Cory McCartan, Christopher T. Kenny, Tyler Simko +5

This article introduces the 50stateSimulations, a collection of simulated congressional districting plans and underlying code developed by the Algorithm-Assisted Redistricting Meth…

stat.AP2021★ 10 cited

Measuring and Modeling Neighborhoods

Cory McCartan, Jacob R. Brown, Kosuke Imai

Granular geographic data present new opportunities to understand how neighborhoods are formed, and how they influence politics. At the same time, the inherent subjectivity of neigh…

stat.AP2021★ 116 cited

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

Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan +3

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 guarantee…