Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments-Reference-Cited by-同舟云学术

Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments

Published:2018-04-03 Issue:522 Volume:113 Page:868-881
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Mukerjee Rahul¹,Dasgupta Tirthankar²,Rubin Donald B.²

Affiliation:

1. Indian Institute of Management Calcutta, Kolkata, West Bengal, India

2. Department of Statistics, Harvard University, Cambridge, MA

Funder

National Science Foundation

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2017.1294076

Reference50 articles.

1. Mostly Harmless Econometrics

2. Sharp bounds on the variance in randomized experiments

3. A Class of Unbiased Estimators of the Average Treatment Effect in Randomized Experiments

4. Aronow, P. M., and Samii, C. (2016), “Estimating Average Causal Effects Under Interference Between Units,” Available at https://arxiv.org/abs/1305.6156.

5. Developing multicomponent interventions using fractional factorial designs

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