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A note on the ergodicity of non-linear autoregressive model

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  • An, H. Z.
  • Chen, S. G.

Abstract

We examine the Markov chain Xt = [Phi](Xt - 1) + [var epsilon]tb, where Xt = (xt, ..., xt - p + 1)[tau], B = (1, 0, ..., 0)[tau]. Under some appropriate conditions on [Phi], we show the ergodicity for {Xt} when E[var epsilon]t2 is suitable small, and the geometric ergodicity when Ee[var epsilon]t is suitably small.

Suggested Citation

  • An, H. Z. & Chen, S. G., 1997. "A note on the ergodicity of non-linear autoregressive model," Statistics & Probability Letters, Elsevier, vol. 34(4), pages 365-372, June.
  • Handle: RePEc:eee:stapro:v:34:y:1997:i:4:p:365-372
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    References listed on IDEAS

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    1. Bhattacharya, Rabi & Lee, Chanho, 1995. "On geometric ergodicity of nonlinear autoregressive models," Statistics & Probability Letters, Elsevier, vol. 22(4), pages 311-315, March.
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    Cited by:

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    3. Fonseca Giovanni, 2004. "On the Stationarity of First-order Nonlinear Time Series Models: Some Developments," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(2), pages 1-9, May.
    4. Felix Chan & Michael McAleer & Marcelo C. Medeiros, 2015. "Structure and asymptotic theory for nonlinear models with GARCH erros," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 16(1), pages 1-21.
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    6. Harvill, Jane L. & Ray, Bonnie K., 2006. "Functional coefficient autoregressive models for vector time series," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3547-3566, August.
    7. Hwang, S. Y. & Woo, Mi-Ja, 2001. "Threshold ARCH(1) processes: asymptotic inference," Statistics & Probability Letters, Elsevier, vol. 53(1), pages 11-20, May.

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