A Class of Unbiased Estimators of the Average Treatment Effect in Randomized Experiments
By P. M. Aronow, J. Middleton. 2013
95 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/009d5121e87318cc3af85801b231246c06af2447
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In Statistics and Probability
- Peng Ding
- Stefan Wager
- Xinran Li
- Aaditya Ramdas
- Susan Athey
- Robert Tibshirani
- Jonathan E. Taylor
- Guido W. Imbens
Citations in the corpus
- Time-uniform, nonparametric, nonasymptotic confidence sequences (2018, methodology): “See Aronow and Middleton [2] for a similar strategy for fixedsample estimation.”
- Estimating Average Causal Effects Under Interference Between Units (2013, background): “Middleton and Aronow (2011) and Aronow and Middleton (2013) demonstrate that ŷT G(dk) is location invariant.”
- Regression‐assisted inference for the average treatment effect in paired experiments (2016, background): “Freedman (2008) and Lin (2013) investigate the impact of regression adjustment on inference for the sample average treatment effect in completely randomized experiments. Neither correctness of the fitted regression model nor a superpopulation model (that units are drawn independently and identically”
- Bridging Finite and Super Population Causal Inference (2017, background): “If the causal parameters can be expressed as cluster-level outcomes, then the result can be straightforwardly applied (cf. Aronow and Middleton 2013; Middleton and Aronow 2015).”
- Uniform, nonparametric, non-asymptotic confidence sequences (2018, background): “See Aronow and Middleton (2013) for a similar strategy applied to fixed-sample estimation.”
- Worth Weighting? How to Think About and Use Weights in Survey Experiments (2017, background): “For related work and similar derivations, see Wood (2008) and Aronow and Middleton (2013).”
- High-dimensional regression adjustments in randomized experiments (2016, methodology): “Our approach is built around cross-estimation, a procedure inspired by data splitting and the work of [37, 38].”