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Testing for Neglected Nonlinearity in Long Memory Models

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Author Info
George Kapetanios () (Queen Mary, University of London)

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Abstract

Interest in the interface of nonstationarity and nonlinearity has been increasing in the econometric literature. The motivation for this development maybe be traced to the perceived possibility that processes following nonlinear models maybe mistakenly taken to be unit root or long-memory nonstationary. This paper considers the possibility that processes may exhibit both long memory and nonlinearity. We test against the possibility that the process ut in the model (1-L)dyt = ut is nonlinear. We do not assume a particular parametric form for the nonlinear process but construct a pure significance test. Clearly, such a test could be straightforwardly constructed if d were known. Unfortunately, if a linear model is assumed while estimating d the power of the test will be reduced. We propose new more powerful tests for this problem. We present Monte Carlo evidence on the performance of the new tests and apply them to Yen real exchange rates.

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Publisher Info
Paper provided by Queen Mary, University of London, Department of Economics in its series Working Papers with number 473.

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Date of creation: Nov 2002
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Handle: RePEc:qmw:qmwecw:wp473

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Related research
Keywords: Long memory Nonlinearity Neural networks Real exchange rates.

Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models
C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing
F31 - International Economics - - International Finance - - - Foreign Exchange

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  1. Aaron Smallwood, 2004. "Joint Tests for Long Memory and Non-linearity: The Case of Purchasing Power Parity," Computing in Economics and Finance 2004 23, Society for Computational Economics. [Downloadable!]
  2. Aaron Smallwood, 2005. "Joint Tests for Non-linearity and Long Memory: The Case of Purchasing Power Parity," Studies in Nonlinear Dynamics & Econometrics, Berkeley Electronic Press, vol. 9(2), pages 1227-1227. [Downloadable!] (restricted)
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This page was last updated on 2008-10-30.


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