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    Significance of regression coefficient in Probit analysis

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    Test of significance for binary regression models:

    I have estimated both probit and logit regression models, and I want to check to see if a particular result is significant. Specifically speaking I want to test to determine whether or not V9 and V31 are significant. Please show me how to conduct such a test. Here is a sample of my output:

    Probit regression Number of obs = 13421
    LR chi2(8) = 1255.28
    Prob > chi2 = 0.0000
    Log likelihood = -6646.2534 Pseudo R2 = 0.0863

    ------------------------------------------------------------------------------
    empst31 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
    -------------+----------------------------------------------------------------
    v2 | -.1887461 .0357127 -5.29 0.000 -.2587417 -.1187505
    v3 | -.1388738 .0306249 -4.53 0.000 -.1988976 -.07885
    v5 | -.0056533 .0014383 -3.93 0.000 -.0084723 -.0028342
    v9 | -.0139441 .0129414 -1.08 0.281 -.0393088 .0114206
    v31 | .0984975 .0334974 2.94 0.003 .0328438 .1641511
    _cons | .0709432 .0757518 0.94 0.349 -.0775275 .219414

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    Significance of regression coefficient in Probit analysis.

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