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Decomposition and Interpretation of Treatment Effects in Settings with Delayed Outcomes
This paper studies settings where the analyst is interested in identifying and estimating the average causal effect of a binary treatment on an outcome.
On the implementation of Approximate Randomization Tests in Linear Models with a Small Number of Clusters
This paper provides a user's guide to the general theory of approximate randomization tests developed in Canay, Romano, and Shaikh (2017) when specialized to linear regressions with clustered data.
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