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Pure Significance Tests of the Unit Root Hypothesis Against Nonlinear Alternatives
Authors:ANDREW P  BLAKE & GEORGE  KAPETANIOS
Affiliation:National Institute of Economic and Social Research
Abstract:Abstract. 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.
Keywords:Artifical neural network  nonlinearity  unit roots
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