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A General Design-Based Framework and Estimator for Randomized Experiments
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We thank P Aronow, Haoge Chang, Xiaohong Chen, Jon Erickson, Avi Feller, Guido Imbens, Laurent Lessard, Joel Middleton, Benjamin Recht, Jamie Robins, Dominik Rothenhaeusler, Rahul Singh, Daniel A.\ Spielman, Vasilis Syrgkanis, Johan Ugander, Stefan Wager and Angela Zhou for helpful comments and discussions.
This research was supported by the National Science Foundation under Grant No.\ 2316335, and by the Jan Wallander, Tom Hedelius & Tore Browaldh foundations under Grant No.\ P25-0067.
Christopher Harshaw acknowledges support from Foundations of Data Science (FODSI), and Yitan Wang acknowledges support from ONR Award N00014-20-1-2335.
Part of this work was done while Christopher Harshaw was visiting the Simons Institute for the Theory of Computing.
The computations in this article were enabled by resources provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS), partially funded by the Swedish Research Council through grant agreement no.\ 2022-06725.
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Numerical Illustrations
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