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  • Different results from Trace statistics and Maximum statistic with Johansen cointegration test - vecrank

    Dear Members,

    I am looking at the rank of cointegration through the vecrank command, checking the relationship between a number of nine variable.

    This is the command I am using and the result I got:

    Code:
    . vecrank mgsv iad gdpv dd gdpvx cgv cpv itv xgsv if ifscode==946, max
    
                           Johansen tests for cointegration                        
    Trend: constant                                         Number of obs =      78
    Sample:  1995q3 - 2014q4                                         Lags =       2
    -------------------------------------------------------------------------------
                                                             5%
    maximum                                      trace    critical
      rank    parms       LL       eigenvalue  statistic    value
        0      90      2271.8509           .    280.5480   192.89
        1      107     2304.2582     0.56437    215.7334   156.00
        2      122     2331.1288     0.49792    161.9923   124.24
        3      135     2355.7148     0.46763    112.8202    94.15
        4      146     2374.3496     0.37986     75.5507    68.52
        5      155     2389.0698     0.31439     46.1103*   47.21
        6      162     2400.8646     0.26098     22.5206    29.68
        7      167     2408.2309     0.17211      7.7880    15.41
        8      170     2412.0891     0.09419      0.0717     3.76
        9      171     2412.1249     0.00092
    -------------------------------------------------------------------------------
                                                             5%
    maximum                                       max     critical
      rank    parms       LL       eigenvalue  statistic    value
        0      90      2271.8509           .     64.8146    57.12
        1      107     2304.2582     0.56437     53.7410    51.42
        2      122     2331.1288     0.49792     49.1721    45.28
        3      135     2355.7148     0.46763     37.2695    39.37
        4      146     2374.3496     0.37986     29.4404    33.46
        5      155     2389.0698     0.31439     23.5897    27.07
        6      162     2400.8646     0.26098     14.7326    20.97
        7      167     2408.2309     0.17211      7.7163    14.07
        8      170     2412.0891     0.09419      0.0717     3.76
        9      171     2412.1249     0.00092
    -------------------------------------------------------------------------------
    The results of the Trace statistic seems to suggest that there are five cointegrated equations, whereas the Max-Eigen statistic seems to point to the presence of three cointegrated equations.

    I went through the theory behind the Johansen test and look for examples when the two statistics indicate different results, but I did not find any evidence.

    I would be very grateful if someone could help me in understanding the meaning of such a different outcome.

    Many many thanks.

  • #2
    I got this information from one forum:
    The trace test and the max-eigenvalue co-integration rank tests are different because they test different hypotheses.
    If we have p=5 variables the Johansen test involves 5 eigenvalues l1, l2, l3, l4 and L5 in decreasing order. There are, for example 3 unit roots if l3=l4=l5=0. In the trace test the alternative is that all 5 eigenvalues are zero. Note that the hypotheses that there are only two or one zero eigenvalues is implied if the 3 hypothesis is accepted. Thus the 3 zero eigenvalue hypothesis implies that there are at least 3 unit values and at most two co-integrating relationships.
    In similar circumstances the corresponding maximum eigenvalue test would have an alternative hypothesis that there are 4 zero eigen values. I would be tempted to use this test in circumstances where theory was definite about 1 co-integrating relationship and I wished to test for a second. I do not recall such a scenario in my research.
    In other circumstances the trace test is to be preferred. Possible references are Burke and Hunter (2005), Modelling non-stationary economic time series, Palgrave or Enders (2014), Applied Econometric time series, 4th edition, Wiley. Your software makes this look easy but a proper understanding requires a lot of effort.
    By John C Frain

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    • #3
      I have the same problem, in fact exact results as yours, so i decided to use trace test.
      Check this:
      https://www.researchgate.net/post/In...e_test_differs

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