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The Effects of Ignoring Level Shifts on Systems Cointegration Tests

  • Carsten Trenkler*

    ()

In this paper I analyse the effects of ignoring level shifts in the data generating process (DGP) on systems cointegration tests that do not accommodate level shifts. I consider two groups of Likelihood Ratio tests based on procedures suggested by Johansen (1988, 1995) and Saikkonen & Lütkepohl (2000b). The Monte Carlo analysis reveals that ignoring level shifts reduces the tests' sizes to zero and causes an important drop in the small sample power for increasing shift magnitudes. These observations are also reflected in two empirical applications in such a way that the tests find a cointegrating rank smaller than one suggested by procedures which accommodate the shifts.

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File URL: http://hdl.handle.net/10.1007/s10182-005-0205-x
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Article provided by Springer in its journal Allgemeines Statistisches Archiv.

Volume (Year): 89 (2005)
Issue (Month): 3 (August)
Pages: 281-301

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Handle: RePEc:spr:alstar:v:89:y:2005:i:3:p:281-301
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  7. H. Lütkepohl & P. Saikkonen, 1997. "Testing for the Cointegrating Rank of a VAR Process with a Time Trend," SFB 373 Discussion Papers 1997,79, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  8. Toda, Hiro Y, 1994. "Finite Sample Properties of Likelihood Ratio Tests for Cointegrating Ranks when Linear Trends are Present," The Review of Economics and Statistics, MIT Press, vol. 76(1), pages 66-79, February.
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  11. Lütkepohl, Helmut & Saikkonen, Pentti & Trenkler, Carsten, 2000. "Comparison of tests for the cointegrating rank of a VAR process with a structural shift," SFB 373 Discussion Papers 2000,10, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
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