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Forecasting Chilean Industrial Production and Sales with Automated Procedures. (2004). Chumacero, Romulo.
In: Computing in Economics and Finance 2004.
RePEc:sce:scecf4:112.

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  1. Does linearity in the dynamics of inflation gap and unemployment rate matter?. (2011). Montero, Roque.
    In: Working Papers Central Bank of Chile.
    RePEc:chb:bcchwp:614.

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  2. Economic Growth in Latin America and The Caribbean: Stylized Facts, Explanations, and Forecasts. (2004). Loayza, Norman ; Calderon, Cesar ; Fajnzylber, Pablo.
    In: Working Papers Central Bank of Chile.
    RePEc:chb:bcchwp:265.

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References

References cited by this document

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  6. Inoue, A. and L. Kilian (2002). In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?, Manuscript, North Carolina State University.

  7. Inoue, A. and L. Kilian (2003). On the Selection of Forecasting Models, Manuscript, North Carolina State University.

  8. Kuan, C. and H. White (1994). Artificial Neural Networks: An Econometric Perspective, Econometric Reviews 13, 1-91.

  9. Patton, A. and A. Timmermann (2002). Properties of Optimal Forecasts, Manuscript, University of California, San Diego.

  10. Politis, D. and J. Romano (1994). The Stationary Bootstrap, Journal of the American Statistical Association 89, 1303-13.
    Paper not yet in RePEc: Add citation now
  11. Siliverstovs, B. and D. van Dijk (2002). Forecasting Industrial Production with Linear, Non-Linear, and Structural Breaks Models, Manuscript, Erasmus University.
    Paper not yet in RePEc: Add citation now
  12. Tkacz, G. (2001). Neural Network Forecasting of Canadian GDP Growth, International Journal of Forecasting 17, 57-69.

  13. West, K. (1996). Asymptotic Inference About Predictive Ability, Econometrica 64, 1067-84.

  14. White, H. (2000). A Reality Check for Data Snooping, Econometrica 68, 1097-126.

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