各位前辈:
小弟做了一个面板数据差分GMM,用EVIEWS5.1做的,上面没有Sargan检验,只有J统计量,请问怎样知道是否通过过度识别检验?第二,上面也没有序列相关的检验,这是否重要?该怎么做?谢谢!另外,序列相关检验怎么做?是先产生一个残差项,再用view下的correlogram吗?然后再选择level?大家帮我参谋一下啊!
下面是我做的一个结果,请各位前辈不吝赐教!小弟再拜!
| Dependent Variable: WATER | | |
| Method: Panel Generalized Method of Moments |
| Transformation: First Differences | |
| Date: 03/03/08 Time: 22:27 | |
| Sample (adjusted): 1994 2005 | |
| Cross-sections included: 29 | |
| Total panel (balanced) observations: 348 |
| White period instrument weighting matrix |
| White period standard errors & covariance (d.f. corrected) |
| Instrument list: @DYN(WATER,-2) @LEV(FDISTK(-2)) |
| @LEV(CONSUM(-2)) @LEV(CHYJG(-2)) @LEV(OWN(-2)) |
| @LEV(RKMD) @LEV(TECH(-2)) | |
| | | | |
| Variable | Coefficient | Std. Error | t-Statistic | Prob. |
| | | | |
| WATER(-1) | 0.916048 | 0.091356 | 10.02727 | 0 |
| FDISTK | 0.005361 | 0.008721 | 0.614689 | 0.5392 |
| CONSUM | 0.21498 | 0.073745 | 2.91517 | 0.0038 |
| CHYJG | -0.16836 | 0.124623 | -1.35092 | 0.1776 |
| OWN | 0.163465 | 0.047264 | 3.458522 | 0.0006 |
| RKMD | -0.27417 | 0.167715 | -1.63472 | 0.103 |
| TECH | -0.0786 | 0.027848 | -2.82256 | 0.005 |
| | | | |
| Effects Specification | |
| | | | |
| Cross-section fixed (first differences) |
| | | | |
| Mean dependent var | -0.00174 | S.D. dependent var | 0.125241 |
| S.E. of regression | 0.157595 | Sum squared resid | 8.469139 |
| J-statistic | 25.59777 | Instrument rank | 30 |