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想在模型中加入因变量的滞后项,相关文献中使用的是一步系统GMM的方法。查到了xtdpdsys这个命令。
首先,想请问这个命令中如何加入滞后项做为工具变量,解决corr的内生性呢?
其次,这个回归中的变量都没有单位根,是平稳的,但为什么“ llrfdi dropped because of collinearity”?而且最后还出现了lrfdi.L1?
最后,想请教这个z反映的是什么呢?我们是否从P>|z| 看出结果的显著性?除了显著性以外,还需要报告什么其他结果吗?
还没有学过动态面板,全是在网上找的,问得很小白,望大神不吝赐教!
xtdpdsys lrfdi llrfdi corr lngdp lpopu lgrad dlexpe ltrad year,vce(robust)
note: llrfdi dropped because of collinearity
System dynamic panel-data estimation Number of obs = 282
Group variable: city Number of groups = 31
Time variable: year
Obs per group:
min = 5
avg = 9.096774
max = 10
Number of instruments = 136 Wald chi2(8) = 1270.62
Prob > chi2 = 0.0000
One-step results
------------------------------------------------------------------------------
| Robust
lrfdi | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
lrfdi |
L1. | .3053218 .1284749 2.38 0.017 .0535155 .5571281
|
corr | .0001166 .0001045 1.12 0.265 -.0000883 .0003215
lngdp | .8191621 .6317144 1.30 0.195 -.4189754 2.0573
lpopu | -1.245652 .7522813 -1.66 0.098 -2.720096 .2287922
lgrad | .9969903 .4411352 2.26 0.024 .1323813 1.861599
dlexpe | .0839858 .3500062 0.24 0.810 -.6020137 .7699854
ltrad | .2585042 .1033478 2.50 0.012 .0559462 .4610621
year | -.168022 .1028207 -1.63 0.102 -.3695468 .0335028
_cons | 338.6327 206.6306 1.64 0.101 -66.35592 743.6213
------------------------------------------------------------------------------
Instruments for differenced equation
GMM-type: L(2/.).lrfdi
Standard: D.llrfdi D.corr D.lngdp D.lpopu D.lgrad D.dlexpe D.ltrad
D.year
Instruments for level equation
GMM-type: LD.lrfdi
Standard: _cons