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We argue that randomized controlled trials (RCTs) are special even among settings where average treatment effects are identified by a nonparametric unconfoundedness assumption.
A generalization of sampling without replacement from a finite universe
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An essay on the logical foundations of survey sampling, part i. foundations of statistical inferences, vp godambe and da sprott, 1971
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Robins, J. M. and Rotnitzky, A · 1992
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Estimation of regression coefficients when some regressors are not always observed
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Wald Lecture: On the Bernstein-von Mises theorem with infinite-dimensional parameters
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Cao, W., Tsiatis, A. A., and Davidian, M · 2009
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Causality
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Künzel, S. R., Walter, S. J., and Sekhon, J. S · 2018
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The book of why: the new science of cause and effect
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Wu, E. and Gagnon-Bartsch, J. A · 2018
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Abadie, A., Athey, S., Imbens, G. W., and Wooldridge, J. M · 2020
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Ritov, Y., Bickel, P. J., Gamst, A. C., and Kleijn, B. J. K · 2014
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Liu, L., Mukherjee, R., and Robins, J. M · 2020
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Maclaren, O. J. and Nicholson, R · 2020
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Finite-sample optimal estimation and inference on average treatment effects under unconfoundedness
Armstrong, T. B. and Kolesár, M · 2021
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Randomization does not imply unconfoundedness
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