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This paper weakens the size and moment conditions needed for typical blockbootstrap methods (i.e. the moving blocks, circular blocks, and stationary boot-straps) to be valid for the sample mean of Near-Epoch-Dependent functions ofmixing processes; they are consistent under the weakest conditions...
Persistent link: https://www.econbiz.de/10009360661
Consider the problem of testing s hypotheses simultaneously. In order to deal with themultiplicity problem, the classical approach is to restrict attention to procedures that controlthe familywise error rate (FWE). Typically, it is known how to construct tests of the individualhypotheses, and...
Persistent link: https://www.econbiz.de/10005868541
There has been a recent interest in reporting p-values adjusted for resampling-based stepdown multiple testing …
Persistent link: https://www.econbiz.de/10011663178
There has been a recent interest in reporting p-values adjusted for resampling-based stepdown multiple testing …
Persistent link: https://www.econbiz.de/10011432996
. Then, we summarize some of the most important methods, as well as resampling methodology, which is useful to set critical …
Persistent link: https://www.econbiz.de/10009226018
multiplicity issue. In particular, recent developments based on resampling result in an improved ability to reject false hypotheses …
Persistent link: https://www.econbiz.de/10009395649
the most important methods are summarized, as well as resampling methodology which is useful to set critical values …
Persistent link: https://www.econbiz.de/10008528447
Conventional procedures for Monte Carlo and bootstrap tests require that B, the number of simulations, satisfy a specific relationship with the level of the test. Otherwise, a test that would instead be exact will either overreject or underreject for finite B. We present expressions for the...
Persistent link: https://www.econbiz.de/10011940649
Resampling methods such as the bootstrap are routinely used to estimate the finite-sample null distributions of a range …
Persistent link: https://www.econbiz.de/10011940672
It is common practice in econometrics to correct for heteroskedasticity.This paper corrects instrumental variables estimators with many instruments for heteroskedasticity.We give heteroskedasticity robust versions of the limited information maximum likelihood (LIML) and Fuller (1977, FULL)...
Persistent link: https://www.econbiz.de/10010318511