Article ID Journal Published Year Pages File Type
5096420 Journal of Econometrics 2011 11 Pages PDF
Abstract
In this paper, a bootstrap algorithm for a reduced rank vector autoregressive (VAR) model which also includes stationary regressors, is analyzed. It is shown that the bootstrap distribution for estimating the rank converges to the distribution derived from the usual asymptotic framework. Because the asymptotic distribution will typically depend on unknown parameters, bootstrap distributions are of considerable interest in this context. The result of an application and some Monte Carlo experiments are also presented.
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
Authors
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