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Finite sample effects of additive outliers on the Granger-causality test with an application to money growth and inflation in Peru

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  • Thierno Balde
  • Gabriel Rodriguez

Abstract

We established, via finite sample simulations, that additive outliers have important effects on the exact size of the statistic for testing for Granger causality. An empirical application illustrates the effects of neglecting for additive outliers.

Suggested Citation

  • Thierno Balde & Gabriel Rodriguez, 2005. "Finite sample effects of additive outliers on the Granger-causality test with an application to money growth and inflation in Peru," Applied Economics Letters, Taylor & Francis Journals, vol. 12(13), pages 841-844.
    • Handle: RePEc:taf:apeclt:v:12:y:2005:i:13:p:841-844
    DOI: 10.1080/13504850500372992
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    1. Pierre Perron & Gabriel Rodríguez, 2003. "Searching For Additive Outliers In Nonstationary Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(2), pages 193-220, March.
    2. Timothy J. Vogelsang, 1999. "Two Simple Procedures for Testing for a Unit Root When There are Additive Outliers," Journal of Time Series Analysis, Wiley Blackwell, vol. 20(2), pages 237-252, March.
    3. Serena Ng & Timothy Vogelsang, 2002. "Analysis Of Vector Autoregressions In The Presence Of Shifts In Mean," Econometric Reviews, Taylor & Francis Journals, vol. 21(3), pages 353-381.
    4. Bianchi, Marco, 1995. "Granger Causality in the Presence of Structural Changes," LIDAM Discussion Papers IRES 1995018, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    5. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
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    Cited by:

    1. Lusine Lusinyan & John Thornton, 2012. "The intertemporal relation between government revenue and expenditure in the United Kingdom, 1750 to 2004," Applied Economics, Taylor & Francis Journals, vol. 44(18), pages 2321-2333, June.

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