Imai, Kosuke, Gary King, and Clayton Nall. (2009). ``Rejoinder: Matched Pairs and the Future of Cluster-Randomized Experiments.'' Statistical Science, Vol. 24, No. 1 (February), pp. 65-72.

Related Papers

Sengupta, Souhardya, Kosuke Imai, and Georgia Papadogeorgou (2025). ``Low-rank Covariate Balancing Estimators under Interference.''
Mukaigawara, Mitsuru, and Kosuke Imai, Jason Lyall, and Georgia Papadogeorgou (2025). ``Spatiotemporal causal inference with arbitrary spillover and carryover effects.''
Tarr, Alexander and Kosuke Imai (2025). ``Estimating Average Treatment Effects with Support Vector Machines.'' Statistics in Medicine, Vol. 44, No. 5, e70006.
Imai, Kosuke, In Song Kim, and Erik Wang (2023). ``Matching Methods for Causal Inference with Time-Series Cross-Sectional Data.'' American Journal of Political Science, Vol. 67, No. 3 (July), pp. 587-605.
Fan, Jianqing, Kosuke Imai, Inbeom Lee, Han Liu, Yang Ning, and Xiaolin Yang (2023). ``Optimal Covariate Balancing Conditions in Propensity Score Estimation.'' Journal of Business & Economic Statistics, Vol. 41, No. 1, pp. 97-110.
Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li (2023). ``Distributionally Robust Causal Inference with Observational Data.''
Papadogeorgou, Georgia, Kosuke Imai, Jason Lyall, and Fan Li (2022). ``Causal Inference with Spatio-temporal Data: Estimating the Effects of Airstrikes on Insurgent Violence in Iraq.'' Journal of the Royal Statistical Society, Series B (Statistical Methodology), Vol. 84, No. 5 (November), pp. 1969-1999.
Imai, Kosuke and In Song Kim (2021). ``On the Use of Two-way Fixed Effects Regression Models for Causal Inference with Panel Data.'' Political Analysis, Vol. 29, No. 3 (July), pp. 405-415.
Imai, Kosuke and James Lo (2021). ``Robustness of Empirical Evidence for the Democratic Peace: A Nonparametric Sensitivity Analysis.'' International Organization, Vol. 75, No. 3 (Summer), pp. 901-919.
Ning, Yang, Sida Peng, and Kosuke Imai (2020). ``Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score.'' Biometrika, Vol. 107, No. 3 (September), pp. 533-554.
Zhao, Shandong, David A. van Dyk, and Kosuke Imai (2020). ``Propensity-Score Based Methods for Causal Inference in Observational Studies with Non-Binary Treatments.'' Statistical Methods in Medical Research, Vol. 29, No. 3 (March), pp. 709-727.
Imai, Kosuke and In Song Kim (2019). ``When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?.'' American Journal of Political Science, Vol. 63, No. 2 (April), pp. 467-490.
Imai, Kosuke, and Zhichao Jiang (2018). ``A Sensitivity Analysis for Missing Outcomes Due to Truncation-by-Death under the Matched-Pairs Design.'' Statistics in Medicine, Vol. 37, No. 20 (September), pp. 2907-2922.
Fong, Christian, Chad Hazlett, and Kosuke Imai (2018). ``Covariate Balancing Propensity Score for a Continuous Treatment: Application to the Efficacy of Political Advertisements.'' Annals of Applied Statistics, Vol. 12, No. 1, pp. 156-177.
Imai, Kosuke and Marc Ratkovic (2015). ``Robust Estimation of Inverse Probability Weights for Marginal Structural Models.'' Journal of the American Statistical Association, Vol. 110, No. 511 (September), pp. 1013-1023.
Imai, Kosuke and Marc Ratkovic (2014). ``Covariate Balancing Propensity Score.'' Journal of the Royal Statistical Society, Series B (Statistical Methodology), Vol. 76, No. 1 (January), pp. 243-263.
Ho, Daniel E., Kosuke Imai, Gary King, and Elizabeth Stuart (2011). ``MatchIt: Nonparametric Preprocessing for Parametric Causal Inference.'' Journal of Statistical Software, Vol. 42, No. 8 (Special Volume on Political Methodology), pp. 1-28.
King, Gary, Emmanuela Gakidou, Kosuke Imai, Jason Lakin, Ryan T. Moore, Clayton Nall, Nirmala Ravishankar, Manett Vargas, Martha María Téllez-Rojo, Juan Eugenio Hernández Ávila, Mauricio Hernández Ávila, and Héctor Hernández Llamas (2009). ``Public Policy for the Poor? A Randomised Assessment of the Mexican Universal Health Insurance Programme.'' (with a comment) The Lancet, Vol. 373, No. 9673 (April), pp. 1447-1454.
Imai, Kosuke, Gary King, and Clayton Nall (2009). ``The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation.'' (with discussions and rejoinder) Statistical Science, Vol. 24, No. 1 (February), pp. 29-53.
Imai, Kosuke (2008). ``Variance Identification and Efficiency Analysis in Randomized Experiments under the Matched-Pair Design.'' Statistics in Medicine, Vol. 27, No. 24 (October), pp. 4857-4873.
Imai, Kosuke, Gary King, and Elizabeth A. Stuart (2008). ``Misunderstandings among Experimentalists and Observationalists about Causal Inference.'' Journal of the Royal Statistical Society, Series A (Statistics in Society), Vol. 171, No. 2 (April), pp. 481-502. Reprinted in Field Experiments and their Critics, D. Teele ed. (2014), New Haven: Yale University Press.
Ho, Daniel E., Kosuke Imai, Gary King, and Elizabeth A. Stuart (2007). ``Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference.'' Political Analysis, Vol. 15, No.3 (Summer), pp. 199-236. Winner of Miller Prize.
Imai, Kosuke (2005). ``Do Get-Out-The-Vote Calls Reduce Turnout? The Importance of Statistical Methods for Field Experiments.'' American Political Science Review, Vol. 99, No. 2 (May), pp. 283-300.
Imai, Kosuke, and David A. van Dyk (2004). ``Causal Inference With General Treatment Regimes: Generalizing the Propensity Score.'' Journal of the American Statistical Association, Vol. 99, No. 467 (September), pp. 854-866.
© Kosuke Imai