Author:
Imbens Guido W.,Rubin Donald B.
Reference67 articles.
1. Abadie, A. and Imbens, G.W. 2006. Large sample properties of matching estimators for average treatment effects. Econometrica 74, 235–67.
2. Angrist, J.D., Imbens, G.W. and Rubin, D.B. 1996. Identification of causal effects using instrumental variables. Journal of the American Statistical Association 91, 444–72 (an Applications Invited Discussion Article with discussion and rejoinder).
3. Barnard, J., Hill, J., Frangakis, C. and Rubin, D. 2003. A principal stratification approach to broken randomized experiments: a case study of vouchers in New York City. Journal of the American Statistical Association 98, 299–323 (with discussion and rejoinder).
4. Bertrand, M. and Mullainathan, S. 2004. Are Emily and Greg more employable than Lakisha and Jamal? A field experiment on labor market discrimination. American Economic Review 94, 991–1013.
5. Belson, W.A. 1956. A technique for studying the effect of a television broadcast. Applied Statistics 5, 195–202.
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