今井　耕介（いまい　こうすけ）

略歴

1998年　東京大学教養学部卒業
2002年　ハーバード大学大学院統計学修士
2003年　ハーバード大学大学院政治学博士
2004年　プリンストン大学政治学部助教授
2012年　プリンストン大学政治学部准教授
2013年　プリンストン大学政治学部教授

関心分野

計量政治学方法論

担当授業科目

Quantitative Social Science、Advanced Quantitative Social Science

所属学会

American Political Science Association、Society of Political Methodology、American Statistical Association

連絡先

kimai at princeton dot edu

主要著作

Quantitative Social Science: An Introduction (Princeton University Press, 2017)
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.
Imai, Kosuke, and David A. van Dyk. (2005). “A Bayesian Analysis of the Multinomial Probit Model Using Marginal Data Augmentation.” Journal of Econometrics, Vol. 124, No. 2 (February), pp. 311-334.
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.
Imai, Kosuke, Luke Keele, Dustin Tingley, and Teppei Yamamoto. (2011). “Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies.” American Political Science Review, Vol. 105, No. 4 (November), pp. 765-789.
Imai, Kosuke. (2011). “Multivariate Regression Analysis for the Item Count Technique.” Journal of the American Statistical Association, Vol. 106, No. 494 (June), pp. 407-416.
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.