1.6k citations · 2.9k across the 36 of their papers we have counts for
6 papers · 1 filter
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…
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment
Eli Ben-Michael, D. James Greiner, Kosuke Imai +1
Algorithmic recommendations and decisions have become ubiquitous in today's society. Many of these data-driven policies, especially in the realm of public policy, are based on know…
Optimal Covariate Balancing Conditions in Propensity Score Estimation
Jianqing Fan, Kosuke Imai, Inbeom Lee +3
Inverse probability of treatment weighting (IPTW) is a popular method for estimating the average treatment effect (ATE). However, empirical studies show that the IPTW estimators ca…
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…
Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts
Santiago Olivella, Tyler Pratt, Kosuke Imai
A primary goal of social science research is to understand how latent group memberships predict the dynamic process of network evolution. In the modeling of international militariz…
Estimating Average Treatment Effects with Support Vector Machines
Alexander Tarr, Kosuke Imai
Support vector machine (SVM) is one of the most popular classification algorithms in the machine learning literature. We demonstrate that SVM can be used to balance covariates and…