asymptotically. Such bands are based on a certain bootstrap procedure from the multiple-testing literature. We compare the finite … endogenizing the lag order in our bootstrap procedure on the finite-sample properties. Furthermore, an empirical application to a …

disturbances,where the heteroskedasticity and autocorrelation are of unknown form. A particular version of the wild bootstrap can … dependent wild bootstrap. Here, we extend this new method, and link it to the well-known HAC covariance estimator, in much the … same way as one can link the wild bootstrap to the HCCME. It works very well even with sample sizes smaller than 50, and …

asymptotically. Such bands are based on a certain bootstrap procedure from the multiple testing literature. We compare the finite … endogenizing the lag order in our bootstrap procedure on the finite-sample properties. Furthermore, an empirical application to a …

In this paper we introduce a bootstrap procedure to test parameter restrictions in vector autoregressive models which … is robust in cases of conditionally heteroskedastic error terms. The adopted wild bootstrap method does not require any … Monte Carlo investigation empirical size and power properties of the new method are illustrated. We compare the bootstrap …