我用面板工具模型,发现结果不知道怎么解释,整天显著,但绝大部分变量不显著,求解:
G2SLS random-effects IV regression Number of obs = 47
Group variable: idcode Number of groups = 4
R-sq: Obs per group:
within = 0.8223 min = 2
between = 0.9996 avg = 11.8
overall = 0.9328 max = 29
Wald chi2(30) = 221.88
corr(u_i, X) = 0 (assumed) Prob > chi2 = 0.0000
-------------------------------------------------------------------------------
gdp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
--------------+----------------------------------------------------------------
gdp |
L1. | .2257565 .2601661 0.87 0.386 -.2841597 .7356727
L2. | .0360039 .2060702 0.17 0.861 -.3678863 .4398941
|
lnconsume |
--. | -23.41181 13.68998 -1.71 0.087 -50.24366 3.420052
L1. | -1.851298 15.50688 -0.12 0.905 -32.24422 28.54163
|
lngovernment |
--. | -4.839973 12.211 -0.40 0.692 -28.77308 19.09314
L1. | -1.199174 13.73901 -0.09 0.930 -28.12714 25.72879
|
lninvest |
--. | -1.334801 6.702042 -0.20 0.842 -14.47056 11.80096
L1. | -20.95768 7.373203 -2.84 0.004 -35.40889 -6.506468
|
lntrade |
--. | -2.384009 4.87309 -0.49 0.625 -11.93509 7.167071
L1. | -5.9583 4.262398 -1.40 0.162 -14.31245 2.395846
|
lndependence |
--. | 25.75864 69.0219 0.37 0.709 -109.5218 161.0391
L1. | -36.62371 63.02501 -0.58 0.561 -160.1505 86.90304
|
lnurban |
--. | -169.2968 105.5768 -1.60 0.109 -376.2234 37.62993
L1. | 175.6312 109.3965 1.61 0.108 -38.78201 390.0445
|
lnfinance |
--. | -2.857004 10.17845 -0.28 0.779 -22.80639 17.09238
L1. | .7929424 8.455509 0.09 0.925 -15.77955 17.36544
|
lnservice |
--. | 9.994232 12.85984 0.78 0.437 -15.21058 35.19905
L1. | -2.372963 17.4378 -0.14 0.892 -36.55043 31.8045
|
lnenvironment |
--. | 1.608855 9.384679 0.17 0.864 -16.78478 20.00249
L1. | 6.410056 11.83593 0.54 0.588 -16.78795 29.60806
|
lneducation |
--. | -10.10318 6.871471 -1.47 0.141 -23.57101 3.364659
L1. | 4.162912 6.826738 0.61 0.542 -9.217248 17.54307
|
lntax |
--. | 1.96234 5.310133 0.37 0.712 -8.445331 12.37001
L1. | 3.81402 5.97241 0.64 0.523 -7.891689 15.51973
|
lntfp |
--. | 39.11755 20.16839 1.94 0.052 -.4117619 78.64687
L1. | -16.36927 17.04621 -0.96 0.337 -49.77922 17.04069
|
lngini |
--. | -6.267495 8.940034 -0.70 0.483 -23.78964 11.25465
L1. | -4.220514 4.641115 -0.91 0.363 -13.31693 4.875904
|
cpi | .1745252 .1885685 0.93 0.355 -.1950621 .5441126
ei | -.0016025 .0008096 -1.98 0.048 -.0031894 -.0000156
_cons | 185.6831 89.23677 2.08 0.037 10.78221 360.5839
--------------+----------------------------------------------------------------
sigma_u | 0
sigma_e | 1.4260085
rho | 0 (fraction of variance due to u_i)
-------------------------------------------------------------------------------
Instrumented: L.gdp
Instruments: L2.gdp lnconsume L.lnconsume lngovernment L.lngovernment
lninvest L.lninvest lntrade L.lntrade lndependence
L.lndependence lnurban L.lnurban lnfinance L.lnfinance
lnservice L.lnservice lnenvironment L.lnenvironment lneducation
L.lneducation lntax L.lntax lntfp L.lntfp lngini L.lngini cpi
ei L3.gdp


雷达卡




京公网安备 11010802022788号







