116 citations · 281 across the 18 of their papers we have counts for
19 papers
Seeing the Forest for the Trees: The Gaussian Process Limit of BART
Cory McCartan, Melody Huang
Bayesian Additive Regression Trees (BART) have shown state-of-the-art performance in both prediction and causal inference problems. Previous theoretical work has attempted to expla…
Generalized Sequential Monte Carlo Sampling for Redistricting Simulation
Philip O'Sullivan, Kosuke Imai, Cory McCartan
Simulation methods have become important tools for quantifying partisan and racial bias in redistricting plans. We generalize the Sequential Monte Carlo (SMC) algorithm of McCartan…
The Role of Confounders and Linearity in Ecological Inference: A Reassessment
Shiro Kuriwaki, Cory McCartan
Estimating conditional means using only the marginal means available from aggregate data is known as the ecological inference problem. We reassess this literature, arguing that it…
Identification and Semiparametric Estimation of Conditional Means from Aggregate Data
Cory McCartan, Shiro Kuriwaki
We introduce a new method for estimating the mean of an outcome variable within groups when researchers only observe the average of the outcome and group indicators across a set of…
Gerrymandering and geographic polarization have reduced electoral competition
Ethan Jasny, Christopher T. Kenny, Cory McCartan +8
Changes in political geography and electoral district boundaries shape representation in the United States Congress. To disentangle the effects of geography and gerrymandering, we…
Relative Bias Under Imperfect Identification in Observational Causal Inference
Melody Huang, Cory McCartan
To conduct causal inference in observational settings, researchers must rely on certain identifying assumptions. In practice, these assumptions are unlikely to hold exactly. This p…
Redistricting Reforms Reduce Gerrymandering by Constraining Partisan Actors
Cory McCartan, Christopher T. Kenny, Tyler Simko +3
Political actors often manipulate redistricting plans to gain electoral advantages, a process known as gerrymandering. Several states have implemented institutional reforms to addr…
Projective Averages for Summarizing Redistricting Ensembles
Cory McCartan
A recurring challenge in the application of redistricting simulation algorithms lies in extracting useful summaries and comparisons from a large ensemble of districting plans. Rese…
Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods
Christopher T. Kenny, Cory McCartan, Shiro Kuriwaki +2
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…
Making Differential Privacy Work for Census Data Users
Cory McCartan, Tyler Simko, Kosuke Imai
The U.S. Census Bureau collects and publishes detailed demographic data about Americans which are heavily used by researchers and policymakers. The Bureau has recently adopted the…
Finding Pareto Efficient Redistricting Plans with Short Bursts
Cory McCartan
Redistricting practitioners must balance many competing constraints and criteria when drawing district boundaries. To aid in this process, researchers have developed many methods f…
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…
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…
Widespread Partisan Gerrymandering Mostly Cancels Nationally, but Reduces Electoral Competition
Christopher T. Kenny, Cory McCartan, Tyler Simko +2
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 eff…
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…
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…
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…
Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans
Cory McCartan, Kosuke Imai
Random sampling of graph partitions under constraints has become a popular tool for evaluating legislative redistricting plans. Analysts detect partisan gerrymandering by comparing…
Geodesic Interpolation on Sierpinski Gaskets
Caitlin M. Davis, Laura A. LeGare, Cory W. McCartan +1
We study the analogue of a convex interpolant of two sets on Sierpinski gaskets and an associated notion of measure transport. The structure of a natural family of interpolating me…