用的这个命令 xtptm lntfp lnIPP lnFDI lnRD lnFIE,rx( lnIPP) thrvar( ipp) iters(200) regime(1)
这里面的123456分别代表什么变量啊!
================ Ordinary Fixed effect regression: =========
Sum of Squared Residuls: 0.4268
Stardard error of regression: 0.0308
Regression Result(ordinary standard error):
----------------------------------------------------
| Coef Std t Prob
----+-----------------------------------------------
1 | 0.0366 0.0122 2.9882 0.0030
2 | -0.0118 0.0040 -2.9876 0.0030
3 | -0.0036 0.0062 -0.5812 0.5614
4 | 0.0100 0.0024 4.1215 0.0000
5 | 0.0000 0.0000 . .
----------------------------------------------------
Regression Result(Robust standard error):
-----------------------------------------------------
| Coef Std_Robust t Prob
----+------------------------------------------------
1 | 0.0366 0.0100 3.6581 0.0003
2 | -0.0118 0.0061 -1.9238 0.0550
3 | -0.0036 0.0066 -0.5485 0.5836
4 | 0.0100 0.0028 3.5572 0.0004
5 | 0.0000 0.0000 . .
-----------------------------------------------------
================ Single threshold regession: ===================
Minimized Sum of Squared Residuals: 0.4152
Standard error of residuals: 0.0304
Threshold estimator: 3.0300
95% conf. intv. of threshold: 2.9600 3.1400
LR Critical value to test gamma=gamma0: 7.3523
Threshold regression(Ordinary Std. Error):
----------------------------------------------------
| Coef Std t prob
----+-----------------------------------------------
1 | -0.0012 0.0161 -0.0724 0.9423
2 | -0.0131 0.0039 -3.3482 0.0009
3 | -0.0060 0.0062 -0.9774 0.3289
4 | 0.0116 0.0024 4.7649 0.0000
5 | 0.0000 0.0000 . .
6 | 0.0272 0.0077 3.5358 0.0004
----------------------------------------------------
Threshold regression(Robust Std. Error):
-----------------------------------------------------
| Coef Std_Robust t prob
----+------------------------------------------------
1 | -0.0012 0.0128 -0.0912 0.9274
2 | -0.0131 0.0061 -2.1373 0.0331
3 | -0.0060 0.0065 -0.9249 0.3555
4 | 0.0116 0.0030 3.8563 0.0001
5 | 0.0000 0.0000 . .
6 | 0.0272 0.0079 3.4311 0.0007
-----------------------------------------------------
Note: Critcal (Inverse CDF of LR stat): -2*ln(1-sqrt(1-alpha))


雷达卡



京公网安备 11010802022788号







