IDEAS home Printed from https://ideas.repec.org/p/cte/dsrepe/3662.html
   My bibliography  Save this paper

La demanda de importaciones españolas. Un enfoque VECM desagregado

Author

Listed:
  • Martínez, J. Manuel
  • Espasa, Antoni

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 & 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.
  • Handle: RePEc:cte:dsrepe:3662
    as

    Download full text from publisher

    File URL: https://e-archivo.uc3m.es/rest/api/core/bitstreams/f8d7af70-845d-4c14-a433-16e402f5da15/content
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Luis Julian Alvarez & Javier Jareño & Miguel Sebastian, 1993. "Salarios públicos, salarios privados e inflación dual," Working Papers 9320, Banco de España.
    9. 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.
    10. 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.
    11. 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.
    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. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Luis J. Álvarez & Miguel Sebastian, 1995. "La inflación latente en España: una perspectiva macroeconómica," Working Papers 9521, Banco de España.
    19. Phillips, P C B, 1991. "Optimal Inference in Cointegrated Systems," Econometrica, Econometric Society, vol. 59(2), pages 283-306, March.
    20. Ana Buisán & Esther Gordo, 1997. "El sector exterior en España," Estudios Económicos, Banco de España, number 60.
    21. Luis J. Álvarez & Fernando C. Ballabriga & Javier Jareño, 1995. "Un modelo macroeconométrico trimestral para la economía española," Working Papers 9524, Banco de España.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Urbain, Jean-Pierre, 1995. "Partial versus full system modelling of cointegrated systems an empirical illustration," Journal of Econometrics, Elsevier, vol. 69(1), pages 177-210, September.
    2. Ericsson, Neil R & Hendry, David F & Mizon, Grayham E, 1998. "Exogeneity, Cointegration, and Economic Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 370-387, October.
    3. Michael D. Bordo & Ronald MacDonald, 1997. "Violations of the `Rules of the Game' and the Credibility of the Classical Gold Standard, 1880-1914," NBER Working Papers 6115, National Bureau of Economic Research, Inc.
    4. Wu, Jyh-Lin, 1999. "A re-examination of the exchange rate-interest differential relationship: evidence from Germany and Japan," Journal of International Money and Finance, Elsevier, vol. 18(2), pages 319-336, February.
    5. Hernán Rincón, 1999. "Testing the Short-Long-Run Exchange Rate Effects on Trade Balance: The Case of Colombia," Borradores de Economia 120, Banco de la Republica de Colombia.
    6. Bordo, Michael D. & MacDonald, Ronald, 2003. "The inter-war gold exchange standard: credibility and monetary independence," Journal of International Money and Finance, Elsevier, vol. 22(1), pages 1-32, February.
    7. A. C. Arize & S. S. Shwiff, 1998. "Does exchange-rate volatility affect import flows in G-7 Countries? Evidence from cointegration models," Applied Economics, Taylor & Francis Journals, vol. 30(10), pages 1269-1276.
    8. Lau, Sau-Him Paul & Sin, Chor-Yiu, 1997. "Observational equivalence and a stochastic cointegration test of the neoclassical and Romer's increasing returns models," Economic Modelling, Elsevier, vol. 14(1), pages 39-60, January.
    9. Ericsson, Neil R., 1995. "Conditional and structural error correction models," Journal of Econometrics, Elsevier, vol. 69(1), pages 159-171, September.
    10. Pesaran, M. Hashem & Shin, Yongcheol & Smith, Richard J., 2000. "Structural analysis of vector error correction models with exogenous I(1) variables," Journal of Econometrics, Elsevier, vol. 97(2), pages 293-343, August.
    11. Woo, Kai-Yin, 1999. "Cointegration analysis of the intensity of the ERM currencies under the European Monetary System," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(4), pages 393-405, November.
    12. Kremer, Manfred, 1999. "Die Kapitalmarktzinsen in Deutschland und den USA: Wie eng ist der Zinsverbund? Eine Anwendung der multivariaten Kointegrationsanalyse," Discussion Paper Series 1: Economic Studies 1999,02, Deutsche Bundesbank.
    13. Lütkepohl, Helmut, 1999. "Vector autoregressions," SFB 373 Discussion Papers 1999,4, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    14. 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.
    15. Chen, Show-Lin & Wu, Jyh-Lin, 2005. "Long-run money demand revisited: evidence from a non-linear approach," Journal of International Money and Finance, Elsevier, vol. 24(1), pages 19-37, February.
    16. Sunil Sharma & Neil R. Ericsson, 1998. "Broad money demand and financial liberalization in Greece," Empirical Economics, Springer, vol. 23(3), pages 417-436.
    17. Neil R. Ericsson & James G. MacKinnon, 2002. "Distributions of error correction tests for cointegration," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 285-318, June.
    18. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871.
    19. Ericsson, Neil R., 1992. "Cointegration, exogeneity, and policy analysis: An overview," Journal of Policy Modeling, Elsevier, vol. 14(3), pages 251-280, June.
    20. Tarlok Singh, 2012. "Does public capital crowd-out or crowd-in private capital in India?," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 15(2), pages 109-133, June.

    More about this item

    Keywords

    Predicción;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cte:dsrepe:3662. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ana Poveda (email available below). General contact details of provider: http://portal.uc3m.es/portal/page/portal/dpto_estadistica .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.