黃河泉 发表于 2017-4-20 15:16 
试试
Dynamic panel-data estimation, one-step difference GMM
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Group variable: bank Number of obs = 111
Time variable : t Number of groups = 74
Number of instruments = 19 Obs per group: min = 1
F(5, 105) = . avg = 1.50
Prob > F = . max = 3
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y | Coef. Std. Err. t P>|t| [95% Conf. Interval]
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y |
--. | 1 1.75e-14 5.7e+13 0.000 1 1
L1. | 2.68e-14 8.10e-15 3.32 0.001 1.08e-14 4.29e-14
|
x1 | 5.58e-18 9.54e-19 5.85 0.000 3.69e-18 7.47e-18
x2 | -2.23e-19 8.47e-20 -2.63 0.010 -3.91e-19 -5.50e-20
x3 | 2.84e-13 7.13e-14 3.99 0.000 1.43e-13 4.25e-13
x4 | 1.15e-14 5.48e-15 2.10 0.038 6.48e-16 2.24e-14
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Instruments for first differences equation
Standard
D.(bank1 bank3)
GMM-type (missing=0, separate instruments for each period unless collapsed)
L(1/.).(L.y x1 x2 x3 x4) collapsed
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Arellano-Bond test for AR(1) in first differences: z = 0.17 Pr > z = 0.869
Arellano-Bond test for AR(2) in first differences: z = -1.25 Pr > z = 0.211
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Sargan test of overid. restrictions: chi2(13) = 37.35 Prob > chi2 = 0.000
(Not robust, but not weakened by many instruments.)