and Jessie Li

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All published works

Action	Title	Year	Authors
+	OLS and 2SLS in Randomized and Conditionally Randomized Experiments	2018	Jason Ansel Han Hong and Jessie Li

Common Coauthors

Coauthor	Papers Together
Han Hong	1
Jason Ansel	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A theory for testing hypotheses under covariate-adaptive randomization	2010	Jun Shao Xiaoyan Yu Bao‐Liang Zhong	1
+	Bootstrapping Regression Models	1981	Darcy A. Freedman	1
+	Convergence rates and asymptotic normality for series estimators	1997	Whitney K. Newey	1
+	Agnostic notes on regression adjustments to experimental data: Reexamining Freedman’s critique	2013	Winston T. Lin	1
+	On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects	1998	Jinyong Hahn	1
+ PDF Chat	Identification and Estimation of Local Average Treatment Effects	1994	Guido W. Imbens Joshua D. Angrist	1
+ PDF Chat	Nonparametric IV estimation of local average treatment effects with covariates	2006	Markus Frölich	1
+	On regression adjustments to experimental data	2007	David A. Freedman	1
+ PDF Chat	The central role of the propensity score in observational studies for causal effects	1983	Paul R. Rosenbaum Donald B. Rubin	1
+ PDF Chat	Semiparametric efficiency in nonlinear LATE models	2010	Han Hong Denis Nekipelov	1
+ PDF Chat	Semiparametric efficiency in GMM models with auxiliary data	2008	Xiaohong Chen Han Hong Alessandro Tarozzi	1
+	GUIDOIMBENS, DONALDRUBIN, Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction. New York: Cambridge University Press.	2016	Bryan E. Shepherd Ryan T. Jarrett Lingjun Fu	1
+	Inference under covariate‐adaptive randomization with multiple treatments	2019	Federico A. Bugni Ivan A. Canay Azeem M. Shaikh	1
+ PDF Chat	Recent Developments in the Econometrics of Program Evaluation	2009	Guido W. Imbens Jeffrey M. Wooldridge	1
+	Identification and Estimation of Local Average Treatment Effects	1995	Joshua D. Angrist Guido W. Imbens	1
+ PDF Chat	Inference Under Covariate-Adaptive Randomization	2017	Federico A. Bugni Ivan A. Canay Azeem M. Shaikh	1
+ PDF Chat	Causal Inference for Statistics, Social, and Biomedical Sciences	2015	Guido W. Imbens Donald B. Rubin	1