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A Note on the Power of Money-Output Causality Tests

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  • Cheung, Yin-Wong
  • Fujii, Eiji

Abstract

This study suggests that some empirical findings against money-output causality can be the consequence of ignoring autoregressive conditional heteroskedastic (ARCH) errors. Monte Carlo results confirm that ARCH effects drastically reduce the power of the standard causality test. The maximum likelihood approach allowing for ARCH effects, on the other hand, provides a good power performance. Using different specifications and sample period, Friedman and Kuttner (1993) and Thomas (1994) report limited evidence of money causing output. We detect significant ARCH effects in the models considered by these studies. Once ARCH effects are explicitly accounted for, we find that the monetary effect is significant though its magnitude is quite small. Copyright 2001 by Blackwell Publishing Ltd

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Bibliographic Info

Article provided by Department of Economics, University of Oxford in its journal Oxford Bulletin of Economics & Statistics.

Volume (Year): 63 (2001)
Issue (Month): 2 (May)
Pages: 247-61

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Handle: RePEc:bla:obuest:v:63:y:2001:i:2:p:247-61

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Cited by:
  1. Cheung, Yan-Leung & Cheung, Yin-Wong & Ng, Chris C., 2007. "East Asian equity markets, financial crises, and the Japanese currency," Journal of the Japanese and International Economies, Elsevier, vol. 21(1), pages 138-152, March.
  2. Berger, Helge & Österholm, Pär, 2008. "Does money still matter for U.S. output?," Discussion Papers 2008/7, Free University Berlin, School of Business & Economics.
  3. Cook, Steven, 2007. "On the relationship between mergers and economic activity: Evidence from an optimised hybrid method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(2), pages 628-634.
  4. Miyakoshi, Tatsuyoshi & Jalolov, Mirzosharif, 2005. "Money-income causality revisited in EGARCH: Spillovers of monetary policy to Asia from the US," Journal of Asian Economics, Elsevier, vol. 16(2), pages 299-313, April.

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