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Recent Advances in Cointegration Analysis

In: New Directions in Macromodelling

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  • Helmut Lutkepohl

Abstract

A small system of German economic variables consisting of the money stock M3, Gross National Product (GNP) and a bond rate is used to illustrate the power of cointegration analysis and the usefulness of some recently developed tools for this kind of analysis. Testing for the cointegrating rank and specifying a VECM, estimating the cointegrating relations and other parameters as well as model checking are discussed. The estimated model is analyzed with an impulse response analysis and a forecast error variance decomposition is performed. A quite reasonable long-run money demand relation is found.
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Suggested Citation

  • Helmut Lutkepohl, 2004. "Recent Advances in Cointegration Analysis," Contributions to Economic Analysis, in: New Directions in Macromodelling, pages 107-146, Emerald Group Publishing Limited.
    • Handle: RePEc:eme:ceazzz:s0573-8555(04)69005-5
    DOI: 10.1016/S0573-8555(04)69005-5
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    Cited by:

    1. Floriana Florestano, 2013. "Hydrocarbon exploitation and macroeconomic performance: a structural var approach for Basilicata1," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2013(1), pages 147-174.
    2. Leitao, Joao & Armada, Manuel Rocha & Ferreira, Joaaquim, 2012. "Corruption and Co-Movements in European Listed Sport Companies: Did Calciocaos really matter?," MPRA Paper 42474, University Library of Munich, Germany.
    3. Cain, P.M., 2022. "Modelling short-and long-term marketing effects in the consumer purchase journey," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 96-116.

    More about this item

    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

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