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Measuring the strength of cointegration and Granger-causality

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  • Erdal Atukeren

Abstract

This study uses Poskitt and Tremayne's (1987) posterior odds ratio test and the associated model portfolio approach to measure the strength of the evidence from cointegration and Granger-causality tests. As an illustration of the methodology, the bivariate relationship between money and income in Canada is re-examined using historical data.

Suggested Citation

  • Erdal Atukeren, 2005. "Measuring the strength of cointegration and Granger-causality," Applied Economics, Taylor & Francis Journals, vol. 37(14), pages 1607-1614.
    • Handle: RePEc:taf:applec:v:37:y:2005:i:14:p:1607-1614
    DOI: 10.1080/00036840500214173
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    1. Simeonova-Ganeva, Ralitsa, 2006. "Влияние На Човешкия Капитал Върху Икономическия Растеж (България, 1949-2005 Г.) [The Impact of Human Capital on the Economic Growth (Bulgaria, 1949-2005)]," MPRA Paper 37244, University Library of Munich, Germany.
    2. Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2016. "Causes and hazards of the euro area sovereign debt crisis: Pure and fundamentals-based contagion," Economic Modelling, Elsevier, vol. 56(C), pages 133-147.
    3. Marta Gómez-Puig & Simón Sosvilla-Rivero, 2014. "EMU sovereign debt market crisis: Fundamentals-based or pure contagion?," Working Papers 14-08, Asociación Española de Economía y Finanzas Internacionales.
    4. Marta Gómez-Puig & Simón Sosvilla-Rivero & Manish K. Singh, 2018. "“The robustness of the sovereign-bank interconnection: Evidence from contingent claims analysis”," IREA Working Papers 201804, University of Barcelona, Research Institute of Applied Economics, revised Feb 2018.
    5. Erdal Atukeren, 2008. "Christmas cards, Easter bunnies, and Granger-causality," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(6), pages 835-844, December.

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