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An Exact Multivariate Model-Based Structural Decomposition

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  • Casals J.
  • Jerez M.
  • Sotoca S.

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  • Casals J. & Jerez M. & Sotoca S., 2002. "An Exact Multivariate Model-Based Structural Decomposition," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 553-564, June.
  • Handle: RePEc:bes:jnlasa:v:97:y:2002:m:june:p:553-564
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    References listed on IDEAS

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    1. Rech, Gianluigi & Teräsvirta, Timo & Tschernig, Rolf, 1999. "A simple variable selection technique for nonlinear models," SSE/EFI Working Paper Series in Economics and Finance 296, Stockholm School of Economics, revised 06 Apr 2000.
    2. Potscher, Benedikt M. & Prucha, Ingmar R., 1986. "A class of partially adaptive one-step m-estimators for the non-linear regression model with dependent observations," Journal of Econometrics, Elsevier, pages 219-251.
    3. Timo Teräsvirta & Marcelo C. Medeiros & Gianluigi Rech, 2006. "Building neural network models for time series: a statistical approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(1), pages 49-75.
    4. White, Halbert & Domowitz, Ian, 1984. "Nonlinear Regression with Dependent Observations," Econometrica, Econometric Society, pages 143-161.
    5. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, pages 134-144.
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    Cited by:

    1. Kuo-Wei Lan & Karen Evans & Ming-An Lee, 2013. "Effects of climate variability on the distribution and fishing conditions of yellowfin tuna (Thunnus albacares) in the western Indian Ocean," Climatic Change, Springer, vol. 119(1), pages 63-77, July.
    2. Delle Monache, Davide & Petrella, Ivan, 2017. "Adaptive models and heavy tails with an application to inflation forecasting," International Journal of Forecasting, Elsevier, pages 482-501.
    3. Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Working Papers 720, Queen Mary University of London, School of Economics and Finance.
    4. Bujosa, Marcos & Garcia-Ferrer, Antonio & Young, Peter C., 2007. "Linear dynamic harmonic regression," Computational Statistics & Data Analysis, Elsevier, pages 999-1024.
    5. José Casals Carro & Alfredo García-Hiernaux & Miguel Jerez, 2010. "From general State-Space to VARMAX models," Documentos de Trabajo del ICAE 1002, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    6. José Casals Carro & Miguel Jerez Méndez & Sonia Sotoca López, 2006. "Decomposition of state-space Model with inputs: The theory and an application to estimate the ROI of advertising," Documentos de Trabajo del ICAE 0602, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    7. Jerez, Miguel & Casals, Jose & Sotoca, Sonia, 2005. "Growth, cycles, and convergence in US regional time series: A personal point of view," International Journal of Forecasting, Elsevier, pages 687-689.
    8. José Casals Carro & Miguel Jerez Méndez & Sonia Sotoca López, 2006. "Modelling an forecasting time series sampled at different frequencies," Documentos de Trabajo del ICAE 0603, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    9. Martin Cincibuch & Jiří Podpiera, 2006. "Beyond Balassa-Samuelson: Real appreciation in tradables in transition countries," The Economics of Transition, The European Bank for Reconstruction and Development, pages 547-573.
    10. Beneš, Jaromí­r & Vávra, David, 2005. "Eigenvalue filtering in VAR models with application to the Czech business cycle," Working Paper Series 549, European Central Bank.
    11. Marrero, Gustavo A. & Puch, Luis A. & Ramos-Real, Francisco J., 2015. "Mean-variance portfolio methods for energy policy risk management," International Review of Economics & Finance, Elsevier, pages 246-264.
    12. Casals, J. & García-Hiernaux, A. & Jerez, M., 2012. "From general state-space to VARMAX models," Mathematics and Computers in Simulation (MATCOM), Elsevier, pages 924-936.
    13. José Casals & Miguel Jerez & Sonia Sotoca, 2009. "Modelling and forecasting time series sampled at different frequencies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(4), pages 316-342.
    14. Gustavo A. Marrero & Luis A. Puch & Francisco J. Ramos-Real, 2013. "Mean-variance portfolio methods for energy policy risk management," Documentos de Trabajo del ICAE 2013-41, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

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