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Bootstrap confidence intervals, percentile versus better

You have run the bootstrap and hold BB replicate estimates θ^1,,θ^B\hat{\theta}^*_1, \dots, \hat{\theta}^*_B of a statistic.

How do you build a confidence interval from them, and why can the simple percentile method under-cover?

Show a hint

The percentile method reads quantiles straight off the replicates. What does that quietly assume about the shape of the estimator's sampling distribution?

Your answer

This one is open-ended. Work it through, then check your reasoning against the full solution.

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