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xtabond2 booklever lagbooklever_fd2 lagbooklever_fd lagbooklever laggrowth lagppe lagprofit lagvar lagsize lagunique la
> gshield lagmean_ml, gmmstyle(lagbooklever_fd2 lagbooklever_fd lagbooklever) ivstyle(laggrowth lagppe lagprofit lagvar l
> agsize lagunique lagshield lagmean_ml) twostep robust small
Favoring speed over space. To switch, type or click on mata: mata set matafavor space, perm.
Warning: Two-step estimated covariance matrix of moments is singular.
Using a generalized inverse to calculate optimal weighting matrix for two-step estimation.
Difference-in-Sargan/Hansen statistics may be negative.
Dynamic panel-data estimation, two-step system GMM
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Group variable: stkcd Number of obs = 2478
Time variable : trdynt Number of groups = 546
Number of instruments = 141 Obs per group: min = 1
F(11, 545) = 102.05 avg = 4.54
Prob > F = 0.000 max = 9
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| Corrected
booklever | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
lagbooklev~2 | -.4242184 .1917901 -2.21 0.027 -.8009567 -.0474802
lagbooklev~d | .1862471 .0784806 2.37 0.018 .0320856 .3404086
lagbooklever | .8010709 .0448344 17.87 0.000 .7130016 .8891402
laggrowth | -.0070225 .0049706 -1.41 0.158 -.0167863 .0027414
lagppe | .0772451 .0212869 3.63 0.000 .0354307 .1190594
lagprofit | .1792112 .0724134 2.47 0.014 .0369676 .3214548
lagvar | .0389165 .1106138 0.35 0.725 -.178365 .2561981
lagsize | -.009736 .0039505 -2.46 0.014 -.017496 -.001976
lagunique | -.0555462 .0367504 -1.51 0.131 -.127736 .0166437
lagshield | -.6006677 .2181873 -2.75 0.006 -1.029259 -.1720765
lagmean_ml | -.017447 .0461081 -0.38 0.705 -.1080184 .0731244
_cons | .2596013 .0797927 3.25 0.001 .1028624 .4163402
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Instruments for first differences equation
Standard
D.(laggrowth lagppe lagprofit lagvar lagsize lagunique lagshield
lagmean_ml)
GMM-type (missing=0, separate instruments for each period unless collapsed)
L(1/.).(lagbooklever_fd2 lagbooklever_fd lagbooklever)
Instruments for levels equation
Standard
_cons
laggrowth lagppe lagprofit lagvar lagsize lagunique lagshield lagmean_ml
GMM-type (missing=0, separate instruments for each period unless collapsed)
D.(lagbooklever_fd2 lagbooklever_fd lagbooklever)
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Arellano-Bond test for AR(1) in first differences: z = -9.06 Pr > z = 0.000
Arellano-Bond test for AR(2) in first differences: z = 0.05 Pr > z = 0.957
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Sargan test of overid. restrictions: chi2(129) = 293.69 Prob > chi2 = 0.000
(Not robust, but not weakened by many instruments.)
Hansen test of overid. restrictions: chi2(129) = 174.89 Prob > chi2 = 0.004
(Robust, but can be weakened by many instruments.)
Difference-in-Hansen tests of exogeneity of instrument subsets:
GMM instruments for levels
Hansen test excluding group: chi2(105) = 139.10 Prob > chi2 = 0.015
Difference (null H = exogenous): chi2(24) = 35.78 Prob > chi2 = 0.058
iv(laggrowth lagppe lagprofit lagvar lagsize lagunique lagshield lagmean_ml)
Hansen test excluding group: chi2(121) = 162.86 Prob > chi2 = 0.007
Difference (null H = exogenous): chi2(8) = 12.02 Prob > chi2 = 0.150
问题:
Sargan test of overid. restrictions: chi2(129) = 293.69 Prob > chi2 = 0.000
(Not robust, but not weakened by many instruments.)
Hansen test of overid. restrictions: chi2(129) = 174.89 Prob > chi2 = 0.004
(Robust, but can be weakened by many instruments.)
Difference-in-Hansen tests of exogeneity of instrument subsets:
GMM instruments for levels
Hansen test excluding group: chi2(105) = 139.10 Prob > chi2 = 0.015
Difference (null H = exogenous): chi2(24) = 35.78 Prob > chi2 = 0.058
iv(laggrowth lagppe lagprofit lagvar lagsize lagunique lagshield lagmean_ml)
Hansen test excluding group: chi2(121) = 162.86 Prob > chi2 = 0.007
Difference (null H = exogenous): chi2(8) = 12.02 Prob > chi2 = 0.150
(1)这三块检验量(红绿蓝)分别用来说明什么,特别是下面两部分(绿色那块和蓝色那块)
(2)(绿色那块和蓝色那块中的)Hansen test excluding group和Difference (null H = exogenous)有什么区别,
(3)139.10+35.78=162.86+12.02=174.89;105+24=121+8=129
详细点啊,谢谢了,如果不想打字,通过信箱告诉我其它的联系方式,我直接问你,上面的金钱也会直接给你