Kosuke Imai's Research Programs

 

My Research Statement (as of July 2012) is available here for download.
Propensity Score Methods for Causal Inference in Experimental and Observational Studies: This research program generalizes and improves propensity score methods, which allow researchers to obtain reliable estimates of causal effects in a variety of settings. Supported by the NSF grant, SES-0550873.
Matching Methods for Causal Inference in Experimental and Observational Studies: This research program develops various matching methods, which allow researchers to compare units that are similar to each other except for the key causal variables of interest. Supported by the NSF grant, SES-0550873.
Design and Analysis of Randomized Experiments and Program Evaluation: This research program develops statistical tools for efficiently designing and analyzing randomized experiments in political science and public policy. Supported by the NSF grant, SES-0752050.
Identification of Causal Mechanisms via Causal Mediation Analysis: This research program develops statistical analysis and research design strategies for identifying causal mechanisms in addition to causal effects. Supported by the NSF grant, SES--0918968.
Elicitation of Truthful Answers to Sensitive Survey Questions: This research program develops new statistical models to analyze survey experiments for eliciting truthful answers to sensitive questions such as racial prejudice and support for militant groups. Supported by the NSF grant, SES-0849715 and the IGC grant, RA-2010-12-013.
Applied Bayesian Statistics

© Kosuke Imai
 Last modified: Mon Mar 18 23:11:57 EDT 2013