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  • missing Wald chi2 in random effects model

    I ran a random regression model with my dependent, independent and control variables including dummy variables and when I control for country of origin by putting x1 == 1 at the end (to look at country 1) the wall chi2 values are missing.

    Here is my equation: xtreg ESG Womenonboard boardsize ROA firmsize new_ind1 new_ind2 new_ind3 new_ind4 new_ind5 new_ind6 new_ind7 new_ind8 new_ind9 new_ind10 new_ind11 if x1 == 1, re

    Why is my chi2 missing? .
    Also did I do the industry dummies correct?

    Here is the exact table?:


    Random-effects GLS regression Number of obs = 240
    Group variable: company Number of groups = 40

    R-squared: Obs per group:
    Within = 0.4559 min = 6
    Between = 0.7123 avg = 6.0
    Overall = 0.6599 max = 6

    Wald chi2(13) = .
    corr(u_i, X) = 0 (assumed) Prob > chi2 = .

    ------------------------------------------------------------------------------
    ESG | Coefficient Std. err. z P>|z| [95% conf. interval]
    -------------+----------------------------------------------------------------
    Womenonboard | .5397011 .0944565 5.71 0.000 .3545699 .7248324
    boardsize | 1.960468 .2623164 7.47 0.000 1.446337 2.474599
    ROA | -.1944252 .1961685 -0.99 0.322 -.5789084 .190058
    firmsize | .0487784 .0816761 0.60 0.550 -.1113038 .2088605
    new_ind1 | 19.93238 15.90699 1.25 0.210 -11.24476 51.10951
    new_ind2 | 11.27768 13.06253 0.86 0.388 -14.32441 36.87976
    new_ind3 | -9.602174 13.30442 -0.72 0.470 -35.67837 16.47402
    new_ind4 | 0 (omitted)
    new_ind5 | 3.692882 13.72184 0.27 0.788 -23.20143 30.58719
    new_ind6 | 2.433309 12.56683 0.19 0.846 -22.19722 27.06383
    new_ind7 | 6.450989 12.22482 0.53 0.598 -17.50923 30.4112
    new_ind8 | -10.88758 19.49895 -0.56 0.577 -49.10481 27.32965
    new_ind9 | 10.87335 13.81143 0.79 0.431 -16.19655 37.94324
    new_ind10 | -16.15254 15.92569 -1.01 0.310 -47.36632 15.06124
    new_ind11 | 0 (omitted)
    _cons | 27.38376 11.91415 2.30 0.022 4.032463 50.73506
    -------------+----------------------------------------------------------------
    sigma_u | 15.321535
    sigma_e | 10.039977
    rho | .6995948 (fraction of variance due to u_i)
    ------------------------------------------------------------------------------


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