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Testing for the Cointegrating Rank of a VAR Process with Level Shift and Trend Break Author info | Abstract | Publisher info | Download info | Related research | Statistics Carsten Trenkler
Pentti Saikkonen
Helmut Luetkepohl
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A test for the cointegrating rank of a vector autoregressive (VAR) process with a possible shift and broken linear trend is proposed. The break point is assumed to be known. The setup is a VAR process for cointegrated variables. The tests are not likelihood ratio tests but the deterministic terms including the broken trends are removed first by a GLS procedure and a likelihood ratio type test is applied to the adjusted series. The asymptotic null distribution of the test is derived and it is shown by a Monte Carlo experiment that the test has better small sample properties in many cases than a corresponding Gaussian likelihood ratio test for the cointegrating rank.
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Paper provided by European University Institute in its series Economics Working Papers with number
ECO2006/29.
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Date of creation: 2006Date of revision:
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Keywords: Cointegration structural break vector autoregressive process error correction model Other versions of this item:
Find related papers by JEL classification: C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models
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