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