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  • pvar overid vs pvarsoc

    Dear statalist expert,

    I am using the pvar command to estimate a panel VAR model. Before estimation, I ran the pvarsoc command to decide optimal lag length and the output returns a Hansen's J-stat which is quite different from that one I obtain after running pvar with its overid option.

    The pvarsoc output and code:

    pvarsoc NFFGDP lnRPL , maxlag(5) pinstlag(2/10) exog( lnRGDPCH)
    Running panel VAR lag order selection on estimation sample
    .....

    Selection order criteria
    Sample: 16 - 45 No. of obs
    > = 882
    No. of panels
    > = 35
    Ave. no. of T
    > = 25.200

    +---------------------------------------------------------------+
    | lag | CD J J pvalue MBIC MAIC |
    |-------+-------------------------------------------------------|
    | 1 | .9858371 44.09921 .0754545 -172.9309 -19.90079 |
    | 2 | .9832904 23.90654 .686459 -165.9948 -32.09346 |
    | 3 | .9786814 22.31654 .5603802 -140.4561 -25.68346 |
    | 4 | .9759816 16.7584 .6686012 -118.8854 -23.2416 |
    | 5 | .9301767 13.28738 .6516404 -95.24582 -18.71262 |
    +---------------------------------------------------------------+ +-------------------+
    | lag | MQIC |
    |-------+-----------|
    | 1 | -78.41601 |
    | 2 | -83.29428 |
    | 3 | -69.56988 |
    | 4 | -59.81361 |
    | 5 | -47.97557 |

    The pvar code and its output

    pvar NFFGDP lnRPL , lags(1) gmmstyle instlags(2/10) overid exog(lnRGDPCH)

    ....

    Test of overidentifying restriction:
    Hansen's J chi2(32) = 89.982543 (p = 0.000)


    In sum, I run the model with one lag based on the MBIC and the associated J-stat has p-value of 0.075. However when I run the model, the option "overid" reports a J-stat with zero p-value.

    Any idea about what could be the discrepancy between these two incompatible reports? Did I commit any mistake in running the model? Which J-stat should be relliable one?

    Best regards,
    Sait.
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