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La demanda de importaciones españolas. Un enfoque VECM desagregado

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  • Martínez, J. Manuel

Abstract

En este trabajo se desarrolla un enfoque de modelización desagregado para las importaciones españolas a partir de modelos VECM. La utilización de datos trimestrales permite entrar en mayor detalle en la dinámica de corto plazo. Se distinguen cuatro tipos de importaciones no energéticas: bienes de equipo, intermedios, de consumo alimenticios y no alimenticios respectivamente. Para cada una de estas categorías así como para el agregado se han construido modelos VAR independientes. Los resultados obtenidos muestran respuestas significativamente distintas a corto y largo plazo ante variaciones de los precios y de las variables de nivel para cada uno de los componentes considerados. El ingreso de España en la CE tuvo también consecuencias distintas en cada caso. La desagregación propuesta permite un análisis más completo de la evolución de las importaciones y una mejora en la predicción del agregado.

Suggested Citation

  • Martínez, J. Manuel, 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.
    • Handle: RePEc:cte:dsrepe:3662
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    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    3. 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.
    4. Phillips, P C B, 1991. "Optimal Inference in Cointegrated Systems," Econometrica, Econometric Society, vol. 59(2), pages 283-306, March.
    5. Peter C. B. Phillips & Mico Loretan, 1991. "Estimating Long-run Economic Equilibria," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 407-436.
    6. Johansen, Soren, 1992. "Cointegration in partial systems and the efficiency of single-equation analysis," Journal of Econometrics, Elsevier, vol. 52(3), pages 389-402, June.
    7. 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.
    8. Ana Buisan & Esther Gordo, 1994. "Funciones de importación y exportación de la economía española," Investigaciones Economicas, Fundación SEPI, vol. 18(1), pages 165-192, January.
    9. Ana Buisán & Esther Gordo, 1997. "El sector exterior en España," Estudios Económicos, Banco de España, number 60.
    10. Hendry, David F & Doornik, Jurgen A, 1994. "Modelling Linear Dynamic Econometric Systems," Scottish Journal of Political Economy, Scottish Economic Society, vol. 41(1), pages 1-33, February.
    11. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    12. 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.
    13. Luis J. Álvarez & Fernando C. Ballabriga & Javier Jareño, 1995. "Un modelo macroeconométrico trimestral para la economía española," Working Papers 9524, Banco de España.
    14. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    15. 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.
    16. Luis J. Álvarez & Miguel Sebastian, 1995. "La inflación latente en España: una perspectiva macroeconómica," Working Papers 9521, Banco de España.
    17. Johansen, Soren & Juselius, Katarina, 1994. "Identification of the long-run and the short-run structure an application to the ISLM model," Journal of Econometrics, Elsevier, vol. 63(1), pages 7-36, July.
    18. Martínez, José Manuel, 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.
    19. Inder, Brett, 1993. "Estimating long-run relationships in economics : A comparison of different approaches," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 53-68.
    20. Blough, Stephen R, 1992. "The Relationship between Power and Level for Generic Unit Root Tests in Finite Samples," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(3), pages 295-308, July-Sept.
    21. Luis Julian Alvarez & Javier Jareño & Miguel Sebastian, 1993. "Salarios públicos, salarios privados e inflación dual," Working Papers 9320, Banco de España.
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