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Detecting nonlinearity in time series by model selection criteria

  • Pena, Daniel
  • Rodriguez, Julio
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    File URL: http://www.sciencedirect.com/science/article/B6V92-4H2FXP3-1/2/0a558739b6a976b8761a6568916a20ed
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    Article provided by Elsevier in its journal International Journal of Forecasting.

    Volume (Year): 21 (2005)
    Issue (Month): 4 ()
    Pages: 731-748

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    Handle: RePEc:eee:intfor:v:21:y:2005:i:4:p:731-748
    Contact details of provider: Web page: http://www.elsevier.com/locate/ijforecast

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    1. Harvey, Andrew & Streibel, Mariane, 1998. "Testing for a slowly changing level with special reference to stochastic volatility," Journal of Econometrics, Elsevier, vol. 87(1), pages 167-189, August.
    2. Margaret McConnell & Gabriel Perez Quiros, 2000. "Output fluctuations in the United States: what has changed since the early 1980s?," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    3. Pedro Galeano & Daniel Peña, 2004. "Model Selection Criteria And Quadratic Discrimination In Arma And Setar Time Series Models," Statistics and Econometrics Working Papers ws041406, Universidad Carlos III, Departamento de Estadística y Econometría.
    4. Hirotugu Akaike, 1969. "Fitting autoregressive models for prediction," Annals of the Institute of Statistical Mathematics, Springer, vol. 21(1), pages 243-247, December.
    5. William Barnett & A. Ronald Gallant & Melvin J. Hinich & Jochen A. Jungeilges & Daniel T. Kaplan & Mark J. Jensen, 2012. "A Single-Blind Controlled Competition Among Tests For Nonlinearity And Chaos," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201219, University of Kansas, Department of Economics, revised Sep 2012.
    6. Lee, Tae-Hwy & White, Halbert & Granger, Clive W. J., 1993. "Testing for neglected nonlinearity in time series models : A comparison of neural network methods and alternative tests," Journal of Econometrics, Elsevier, vol. 56(3), pages 269-290, April.
    7. Maravall, Agustin, 1983. "An Application of Nonlinear Time Series Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(1), pages 66-74, January.
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