Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
416202 | Computational Statistics & Data Analysis | 2007 | 10 Pages |
Abstract
A bootstrap methodology for dealing with cross-sectional dependence in panel unit root tests of real exchange rates is suggested. Monte Carlo simulations are employed to investigate the size distortion and the power of the bootstrap test-statistic. It is shown that the statistic has good power and no size distortions for moderate and large samples. The panel unit root test procedure is then applied to the long-run purchasing power parity (PPP) hypothesis, using a panel of 20 OECD countries over the recent float period, and the results are compared to those obtained by other tests.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Mario Cerrato, Nicholas Sarantis,