请问分三组东中西回归结果,怎么才能全部导出,用命令 bysort region: outreg2 using x.doc, replace:只能导出最后一组。
-> region = 东
Random-effects GLS regression Number of obs = 66
Group variable: name Number of groups = 11
R-sq: Obs per group:
within = 0.3019 min = 6
between = 0.9117 avg = 6.0
overall = 0.8746 max = 6
Wald chi2(9) = 3183.01
corr(u_i, X) = 0 (assumed) Prob > chi2 = 0.0000
(Std. Err. adjusted for 11 clusters in name)
------------------------------------------------------------------------------
| Robust
y | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
x1 | 3.202468 1.106414 2.89 0.004 1.033936 5.371
x2 | -3.793857 1.309365 -2.90 0.004 -6.360165 -1.227548
x3 | 3.539557 3.412227 1.04 0.300 -3.148285 10.2274
x4 | 3.222174 .6910468 4.66 0.000 1.867747 4.576601
x5 | 28.06706 16.43724 1.71 0.088 -4.14933 60.28346
x6 | 7.868058 9.057881 0.87 0.385 -9.885063 25.62118
x7 | -68.25608 45.92415 -1.49 0.137 -158.2658 21.75359
x8 | 6.601175 1.819022 3.63 0.000 3.035958 10.16639
x9 | -5.412302 3.16766 -1.71 0.088 -11.6208 .7961976
_cons | 128004.7 110124.6 1.16 0.245 -87835.47 343844.9
-------------+----------------------------------------------------------------
sigma_u | 36911.038
sigma_e | 32424.43
rho | .56443887 (fraction of variance due to u_i)
------------------------------------------------------------------------------
-------------------------------------------------------------------------------------
-> region = 中
Random-effects GLS regression Number of obs = 48
Group variable: name Number of groups = 8
R-sq: Obs per group:
within = 0.3355 min = 6
between = 0.9993 avg = 6.0
overall = 0.9382 max = 6
Wald chi2(7) = .
corr(u_i, X) = 0 (assumed) Prob > chi2 = .
(Std. Err. adjusted for 8 clusters in name)
------------------------------------------------------------------------------
| Robust
y | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
x1 | 3.452204 .7092131 4.87 0.000 2.062172 4.842236
x2 | -2.78383 1.042326 -2.67 0.008 -4.826751 -.7409079
x3 | 13.27835 6.051812 2.19 0.028 1.417017 25.13968
x4 | .5853826 1.330242 0.44 0.660 -2.021845 3.19261
x5 | 1.726798 17.06523 0.10 0.919 -31.72044 35.17403
x6 | 8.895497 .919675 9.67 0.000 7.092967 10.69803
x7 | -56.24869 38.01302 -1.48 0.139 -130.7528 18.25545
x8 | 1.19556 .662684 1.80 0.071 -.1032764 2.494397
x9 | 3.208695 1.767936 1.81 0.070 -.2563958 6.673786
_cons | 52123.72 60033.77 0.87 0.385 -65540.31 169787.7
-------------+----------------------------------------------------------------
sigma_u | 0
sigma_e | 28372.164
rho | 0 (fraction of variance due to u_i)
------------------------------------------------------------------------------
-------------------------------------------------------------------------------------
-> region = 西
Random-effects GLS regression Number of obs = 42
Group variable: name Number of groups = 7
R-sq: Obs per group:
within = 0.1570 min = 6
between = 0.9747 avg = 6.0
overall = 0.5412 max = 6
Wald chi2(6) = .
corr(u_i, X) = 0 (assumed) Prob > chi2 = .
(Std. Err. adjusted for 7 clusters in name)
------------------------------------------------------------------------------
| Robust
y | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
x1 | 2.426882 1.455161 1.67 0.095 -.4251802 5.278945
x2 | -.1717868 2.323268 -0.07 0.941 -4.725307 4.381734
x3 | -4.159215 40.38978 -0.10 0.918 -83.32173 75.0033
x4 | 9.968396 10.16278 0.98 0.327 -9.950295 29.88709
x5 | 29.03678 30.27506 0.96 0.338 -30.30124 88.3748
x6 | -2.988141 5.736939 -0.52 0.602 -14.23234 8.256052
x7 | 30.96893 42.82935 0.72 0.470 -52.97505 114.9129
x8 | 6.730907 2.221655 3.03 0.002 2.376543 11.08527
x9 | -12.24894 3.603588 -3.40 0.001 -19.31184 -5.186035
_cons | -119354.9 100294.5 -1.19 0.234 -315928.6 77218.77
-------------+----------------------------------------------------------------
sigma_u | 0
sigma_e | 76632.565
rho | 0 (fraction of variance due to u_i)
------------------------------------------------------------------------------


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