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Caracterización de la tendencia y componente cíclico del PIB español a través de modelos no lineales

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  • Martínez, José Manuel
  • Espasa, Antoni

Abstract

En este trabajo se presenta un análisis sobre el comportamiento dinámico del crecimiento trimestral del PIB español, analizándose su modelización y cuáIes han sido las innovaciones mas importantes que han afectado a su crecimiento en los últimos 26 años. Se consideran modelos univariantes lineales ARIMA, representaciones con medias segmentadas y modelos no lineales TAR. El hecho de que el comportamiento del PIB español sea distinto durante los periodos de expansión y de recesión justifica la aplicación de modelos no lineales para intentar captar tales características que permiten una interpretabilidad económica más adecuada para esta variable. Los ciclos en el crecimiento del PIB español se pueden caracterizar con tres fases: recesión, crecimiento acelerado y crecimiento desacelerado. En la primera apenas existe dependencia dinámica, en la segunda se registran oscilaciones cíclicas de periodos cortos y en la última la desaceleración es lenta. La entrada y salida de una fase de recesión se debe a perturbaciones que llegan al sistema y no a la propia dinámica de éste. El saldo comercial juega un papel muy relevante en el patrón cíclico de las tres fases del PIB, aportando la mayor parte del crecimiento en el inicio de las recuperaciones.

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  • Martínez, José Manuel & Espasa, Antoni, 1997. "Caracterización de la tendencia y componente cíclico del PIB español a través de modelos no lineales," DES - Documentos de Trabajo. Estadística y Econometría. DS 3646, Universidad Carlos III de Madrid. Departamento de Estadística.
    • Handle: RePEc:cte:dsrepe:3646
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    References listed on IDEAS

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    1. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220, National Bureau of Economic Research, Inc.
    2. Jushan Bai, 1994. "Least Squares Estimation Of A Shift In Linear Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 15(5), pages 453-472, September.
    3. Granger, Clive W J, 1993. "What Are We Learning about the Long-Run?," Economic Journal, Royal Economic Society, vol. 103(417), pages 307-317, March.
    4. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    5. Sichel, Daniel E, 1994. "Inventories and the Three Phases of the Business Cycle," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 269-277, July.
    6. Dickey, David A & Pantula, Sastry G, 1987. "Determining the Ordering of Differencing in Autoregressive Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 455-461, October.
    7. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    8. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    9. Cochrane, John H., 1991. "A critique of the application of unit root tests," Journal of Economic Dynamics and Control, Elsevier, vol. 15(2), pages 275-284, April.
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    1. Martínez, J. Manuel & Espasa, Antoni, 1998. "La demanda de importaciones españolas. Un enfoque VECM desagregado," DES - Documentos de Trabajo. Estadística y Econometría. DS 3662, Universidad Carlos III de Madrid. Departamento de Estadística.

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