我用C- D 生产函数Y=A0ertKαLβ 计算科技贡献率。为了消除多重共线性,用α+β=1去掉一个自变量,得㏑(Y/L) =㏑A0+rt+α㏑(K/L)+u2
然后剔除二阶自相关,得到的结果是自变量ln(k/l)的t统计无法通过,该怎么办?(不存在异方差)
| Dependent Variable: LNGDP/L | | |
| Method: Least Squares | | |
| Date: 05/18/07 Time: 22:54 | | |
| Sample (adjusted): 3 21 | | |
| Included observations: 19 after adjustments | |
| Convergence achieved after 11 iterations | |
| | | | | |
| | | | | |
| Variable | Coefficient | Std. Error | t-Statistic | Prob. |
| | | | | |
| | | | | |
| LNK/L | 0.175196 | 0.136118 | 1.287093 | 0.2189 |
| T | 0.109657 | 0.030037 | 3.650776 | 0.0026 |
| C | -1.629247 | 0.591887 | -2.752631 | 0.0156 |
| AR(1) | 1.490989 | 0.185746 | 8.027027 | 0.0000 |
| AR(2) | -0.714602 | 0.195862 | -3.648491 | 0.0026 |
| | | | | |
| | | | | |
| R-squared | 0.996879 | Mean dependent var | -0.626140 |
| Adjusted R-squared | 0.995987 | S.D. dependent var | 0.857615 |
| S.E. of regression | 0.054326 | Akaike info criterion | -2.766691 |
| Sum squared resid | 0.041318 | Schwarz criterion | -2.518155 |
| Log likelihood | 31.28357 | F-statistic | 1117.953 |
| Durbin-Watson stat | 1.767394 | Prob(F-statistic) | 0.000000 |
| | | | | |
| | | | | |
| Inverted AR Roots | .75-.40i | .75+.40i | |