IDEAS home Printed from https://ideas.repec.org/p/cdl/ucsdec/qt2nb9f668.html
   My bibliography  Save this paper

Time Series Analysis, Cointegration, and Applications

Author

Listed:
  • Granger, Clive W.J.

Abstract

This is the speech that Professor Granger gave at Nobel Prize Awards 2004

Suggested Citation

  • Granger, Clive W.J., 2004. "Time Series Analysis, Cointegration, and Applications," University of California at San Diego, Economics Working Paper Series qt2nb9f668, Department of Economics, UC San Diego.
  • Handle: RePEc:cdl:ucsdec:qt2nb9f668
    as

    Download full text from publisher

    File URL: http://www.escholarship.org/uc/item/2nb9f668.pdf;origin=repeccitec
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    2. Andersen,Lykke E. & Granger,Clive W. J. & Reis,Eustaquio J. & Weinhold,Diana & Wunder,Sven, 2002. "The Dynamics of Deforestation and Economic Growth in the Brazilian Amazon," Cambridge Books, Cambridge University Press, number 9780521811972, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Muyambiri, Brian & Chiwira, Oscar & Enowbi Batuo, Michael & Chiranga, Ngonidzashe, 2010. "The Causal Relationship between Private and Public Investment in Zimbabwe," MPRA Paper 26671, University Library of Munich, Germany.
    2. Siti Nur Zahara HAMZAH & Evan LAU, 2013. "The role of social factors in explaining crime," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(6(583)), pages 99-118, June.
    3. Ericsson, Neil R., 2017. "Economic forecasting in theory and practice: An interview with David F. Hendry," International Journal of Forecasting, Elsevier, vol. 33(2), pages 523-542.
    4. Medel, Carlos, 2015. "Producers, Politicians, Warriors, and Forecasters: Who's Who in the Oil Market?," MPRA Paper 65298, University Library of Munich, Germany.
    5. Allen, P. Geoffrey & Morzuch, Bernard J., 2006. "Twenty-five years of progress, problems, and conflicting evidence in econometric forecasting. What about the next 25 years?," International Journal of Forecasting, Elsevier, vol. 22(3), pages 475-492.
    6. Aleksander Janeš & Armand Faganel, 2015. "Managing Sustainable Profit," MIC 2015: Managing Sustainable Growth; Proceedings of the Joint International Conference, Portorož, Slovenia, 28–30 May 2015, University of Primorska, Faculty of Management Koper.
    7. repec:dgr:rugsom:14030-gem is not listed on IDEAS
    8. Bevilacqua, Franco, 2006. "Random walks and cointegration relationships in international parity conditions between Germany and USA for the post Bretton-Woods period," MERIT Working Papers 012, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    9. José R. Gamarra, 2006. "¿Cómo se comportan las tasas de desempleo en siete ciudades colombianas?," REVISTA DE ECONOMÍA DEL ROSARIO, UNIVERSIDAD DEL ROSARIO, December.
    10. RauÌ l GoÌ mez MartiÌ nez & Paola Plaza Casado & ConsolacioÌ n Quintana Rojo & Camilo Prado RomaÌ n, 2017. "Influencia de los mensajes de Twitter sobre el Ibex 35," Revista de Investigación en ciencias contables y Administrativas, Universidad Michoacana de San Nicolás de Hidalgo, Facultad de Contaduría y Ciencias Administrativas, vol. 2(1), pages 25-42, January.
    11. Bevilacqua, Franco, 2006. "Random walks and cointegration relationships in international parity conditions between Germany and USA for the Bretton-Woods period," MERIT Working Papers 016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    12. Delis, Manthos D. & Karavias, Yiannis, 2015. "Optimal versus realized bank credit risk and monetary policy," Journal of Financial Stability, Elsevier, vol. 16(C), pages 13-30.
    13. Emanuele Felice & Josep Pujol Andreu, 2013. "GDP and life expectancy in Italy and Spain over the long-run (1861-2008): insights from a time-series approach," UHE Working papers 2013_06, Universitat Autònoma de Barcelona, Departament d'Economia i Història Econòmica, Unitat d'Història Econòmica.
    14. Bezemer, Dirk & Grydaki, Maria, 2014. "Nonfinancial sectors debt and the U.S. great moderation," Research Report 14030-GEM, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    15. Medel, Carlos A., 2015. "Geopolitical Tensions, OPEC News, and Oil Price: A Granger Causality Analysis," MPRA Paper 65667, University Library of Munich, Germany.
    16. Masih, A. Mansur M. & De Mello, Lurion, 2011. "Does the ‘Environmental Kuznets Curve’ Exist? An Application of Long-run Structural Modelling to Saudi Arabia - La Curva di Kuznets esiste? Un’applicazione LRSM al caso dell’Arabia Saudita," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 64(2), pages 211-235.
    17. Foverskov, Else & Holm, Anders, 2016. "Socioeconomic inequality in health in the British household panel: Tests of the social causation, health selection and the indirect selection hypothesis using dynamic fixed effects panel models," Social Science & Medicine, Elsevier, vol. 150(C), pages 172-183.
    18. Bezemer, Dirk & Grydaki, Maria, 2014. "Financial fragility in the Great Moderation," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 169-177.
    19. Feng, Cong & Cui, Mingjian & Hodge, Bri-Mathias & Zhang, Jie, 2017. "A data-driven multi-model methodology with deep feature selection for short-term wind forecasting," Applied Energy, Elsevier, vol. 190(C), pages 1245-1257.

    More about this item

    Keywords

    Time Series; co-integration;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    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:cdl:ucsdec:qt2nb9f668. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Lisa Schiff). General contact details of provider: http://edirc.repec.org/data/deucsus.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.