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Long-Run Causality, with an Application to International Links between Long-Term Interest Rates

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  • Bruneau, Catherine
  • Jondeau, Eric

Abstract

In this paper we give a precise definition of long-run causality in a multivariate non-stationary, possibly cointegrated, framework. A variable is said to be causal for another in the long-run if knowledge of the past of the former improves long-run predictions of the latter. In a VAR framework, we show that long-run non-causality can be easily tested with a Wald statistics, conditionally on the cointegration rank. The methodology is used to study long-run causal links between US, German, and French long-term interest rates from January 1990 to June 1997. Copyright 1999 by Blackwell Publishing Ltd

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  • Bruneau, Catherine & Jondeau, Eric, 1999. " Long-Run Causality, with an Application to International Links between Long-Term Interest Rates," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(4), pages 545-568, November.
  • Handle: RePEc:bla:obuest:v:61:y:1999:i:4:p:545-68
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    Cited by:

    1. van Tilburg, Aad & Kuiper, W. Erno & Swinkels, Rob, 2006. "Market Performance of Potato Auctions in Bhutan," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25520, International Association of Agricultural Economists.
    2. Strauch, Rolf & Paesani, Paolo & Kremer, Manfred, 2006. "Public debt and long-term interest rates: the case of Germany, Italy and the USA," Working Paper Series 656, European Central Bank.
    3. repec:adr:anecst:y:2001:i:62:p:07 is not listed on IDEAS
    4. Yiannis Kamarianakis & Vagelis Kaslis, 2005. "Geographical competition-complementarity relationships between Greek regional economies," ERSA conference papers ersa05p552, European Regional Science Association.
    5. Majid M. Al-Sadoon, 2015. "Testing subspace Granger causality," Economics Working Papers 1495, Department of Economics and Business, Universitat Pompeu Fabra.
    6. Paolo Paruolo, 2006. "The Likelihood Ratio Test for the Rank of a Cointegration Submatrix," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(s1), pages 921-948, December.
    7. Oxley, Les & Reale, Marco & Wilson, Granville Tunnicliffe, 2009. "Constructing structural VAR models with conditional independence graphs," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2910-2916.
    8. Fanelli, Luca & Paruolo, Paolo, 2010. "Speed of adjustment in cointegrated systems," Journal of Econometrics, Elsevier, vol. 158(1), pages 130-141, September.
    9. Al-Sadoon, Majid M., 2014. "Geometric and long run aspects of Granger causality," Journal of Econometrics, Elsevier, vol. 178(P3), pages 558-568.
    10. Éric Jondeau, 2001. "La théorie des anticipations de la structure par terme permet-elle de rendre compte de l'évolution des taux d'intérêt sur euro-devise ?," Annals of Economics and Statistics, GENES, issue 62, pages 139-174.
    11. Angelini, Giovanni & Bacchiocchi, Emanuele & Caggiano, Giovanni & Fanelli, Luca, 2017. "Uncertainty across volatility regimes," Research Discussion Papers 35/2017, Bank of Finland.
    12. Kari Heimonen, 2002. "Substituting a Substitute Currency – The Case of Estonia," International Finance 0209003, EconWPA.
    13. Al-Sadoon, M.M., 2009. "Causality Along Subspaces: Theory," Cambridge Working Papers in Economics 0919, Faculty of Economics, University of Cambridge.
    14. repec:dau:papers:123456789/1483 is not listed on IDEAS
    15. Jansen, Pieter W., 2006. "Did capital market convergence lower the effectiveness of the interest rate as a monetary policy tool?," Serie Research Memoranda 0010, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

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    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • 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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