Showing 1 - 10 of 316
determined with a permutation procedure and a parametric bootstrap in the testsfor serial independence and linearity …
Persistent link: https://www.econbiz.de/10011317443
different bootstrap tests. In the context of static linear regression modelstwo of these are shown to have serious size and …
Persistent link: https://www.econbiz.de/10011325661
Often socio-economic variables are measured on a discrete scale or rounded to protect confidentiality. Nevertheless, when exploring the effect of a relevant covariate on the whole outcome distribution of a discrete response variable, virtually all common quantile regression methods require the...
Persistent link: https://www.econbiz.de/10011382707
Estimators of the extreme-value index are based on a set of upper order statistics. We present an adaptivemethod to choose the number of order statistics involved in an optimal way, balancing variance and biascomponents. Recently this has been achieved for the similar but somewhat less involved...
Persistent link: https://www.econbiz.de/10010342310
A large number of exact inferential procedures in statistics and econometrics involve the sampling distribution of ratios of random variables. If the denominator variable is positive, then tail probabilities of the ratio can be expressed as those of a suitably defined difference of random...
Persistent link: https://www.econbiz.de/10010227300
size distortions in conventional cointegration tests, which may be resolved using the wild bootstrap, as shown by Cavaliere … and depends on the volatility process; we show that various bootstrap implementations may be used to conduct …
Persistent link: https://www.econbiz.de/10012026102
A novel simulation-based methodology is proposed to test the validity of a set of marginal time series models, where the dependence structure between the time series is taken "directly" from the observed data. The procedure is useful when one wants to summarize the test results for several time...
Persistent link: https://www.econbiz.de/10010250513
We propose two robust bootstrap-based simultaneous inference methods for time series models featuring time …. We find that the proposed moving block bootstrap and sieve wild bootstrap methods show superior, robust small sample … performance, in terms of empirical coverage and length, compared to the sieve bootstrap introduced by Friedrich and Lin (2022) for …
Persistent link: https://www.econbiz.de/10014335549
values and depends on various nuisance parameters. An autoregressive wild bootstrap (AWB) is proposed to construct confidence …
Persistent link: https://www.econbiz.de/10014442008
This study reflects on the inconsistency of the fixed-design residual bootstrap procedure for GARCH models under … dependent innovations. We introduce a novel recursive-design residual block bootstrap procedure to accurately quantify the … recursive-design residual block bootstrap in the presence of dependent innovations. The resulting bootstrap confidence intervals …
Persistent link: https://www.econbiz.de/10014457811