Article ID Journal Published Year Pages File Type
416202 Computational Statistics & Data Analysis 2007 10 Pages PDF
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
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