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-defined. Several bootstrap procedures are proposed. They alleviate the problem and allow reliable inference when the instruments are …
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variants of the wild cluster bootstrap can over-reject or under-reject severely, and that procedures based on randomization … statistics which fails only when the treated clusters are atypical and few in number. We also propose a bootstrap …
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Inference using large datasets is not nearly as straightforward as conventional econometric theory suggests when the disturbances are clustered, even with very small intra-cluster correlations. The information contained in such a dataset grows much more slowly with the sample size than it would...
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