activity
20092020
most citedThe Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation

301 citations · 383 across the 6 of their papers we have counts for

collaborators

6 papers

stat.AP2020★ 10 cited

Survey Data and Human Computation for Improved Flu Tracking

Stefan Wojcik, Avleen Bijral, Richard Johnston +5

While digital trace data from sources like search engines hold enormous potential for tracking and understanding human behavior, these streams of data lack information about the ac…

stat.AP2018★ 11 cited

Ecological Regression with Partial Identification

Wenxin Jiang, Gary King, Allen Schmaltz +1

Ecological inference (EI) is the process of learning about individual behavior from aggregate data. We study a partially identified linear contextual effects model for EI and descr…

stat.ML2018★ 15 cited

A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results

Beau Coker, Cynthia Rudin, Gary King

Inference is the process of using facts we know to learn about facts we do not know. A theory of inference gives assumptions necessary to get from the former to the latter, along w…

cs.CR2016★ 16 cited

PSI (Ψ): a Private data Sharing Interface

Marco Gaboardi, James Honaker, Gary King +4

We provide an overview of PSI ("a Private data Sharing Interface"), a system we are developing to enable researchers in the social sciences and other fields to share and explore pr…

stat.ME2009★ 30 cited

Rejoinder: Matched Pairs and the Future of Cluster-Randomized Experiments

Kosuke Imai, Gary King, Clayton Nall

Rejoinder to "The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation" [arXiv:0910.3752]

stat.ME2009★ 301 cited

The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation

Kosuke Imai, Gary King, Clayton Nall

A basic feature of many field experiments is that investigators are only able to randomize clusters of individuals--such as households, communities, firms, medical practices, schoo…