Pure Significance Tests of the Unit Root Hypothesis Against Nonlinear Alternatives
This paper describes artificial neural network based pure significance tests for the unit root hypothesis against nonlinear alternatives. The theoretical properties of the tests are discussed and a Monte Carlo investigation of their small sample properties is undertaken. Copyright 2003 Blackwell Publishing Ltd.
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Volume (Year): 24 (2003)
Issue (Month): 3 (05)
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