few clusters, the wild cluster bootstrap results in p-values that are not point identified. I suggest two alternative wild …

randomisation inference followed by the wild cluster bootstrap have superior size properties compared to conventional approaches. …

randomisation inference followed by the wild cluster bootstrap have superior size properties compared to conventional approaches. … Keywords: test scores, non-cognitive skills, cluster randomised trial, wild cluster bootstrap, randomisation inference … outcome variable. This is at the expense of reduced power. The wild cluster bootstrap achieves comparable size properties when …

The cluster bootstrap resamples clusters or subjects instead of individual observations in order to preserve the … dependence within each cluster or subject. In this paper, we provide a theoretical justification of using the cluster bootstrap … exchangeable bootstrap weights, we show that the cluster bootstrap yields a consistent approximation of the distribution of the …

randomisation inference followed by the wild cluster bootstrap have superior size properties compared to conventional approaches. …