| Dependent Variable: LOG(Y) | | | ||
| Method: Least Squares | | | ||
| Sample: 1996 2005 | | | ||
| Included observations: 10 | | | ||
| LOG(Y)=C(1)+C(2)*LOG(K)+C(3)*LOG(L)+C(4)*LOG(R)+C(5)*LOG(I) | ||||
| | Coefficient | Std. Error | t-Statistic | Prob. |
| C(1) | 4.962250 | 1.584043 | 3.132649 | 0.0259 |
| C(2) | 0.725747 | 0.152097 | 4.771607 | 0.0050 |
| C(3) | -0.120749 | 0.148705 | -0.812004 | 0.4537 |
| C(4) | 0.110975 | 0.031710 | 3.499706 | 0.0173 |
| C(5) | -0.080599 | 0.058464 | -1.378620 | 0.2265 |
| R-squared | 0.996372 | Mean dependent var | 16.72940 | |
| Adjusted R-squared | 0.993469 | S.D. dependent var | 0.317361 | |
| S.E. of regression | 0.025647 | Akaike info criterion | -4.181914 | |
| Sum squared resid | 0.003289 | Schwarz criterion | -4.030621 | |
| Log likelihood | 25.90957 | Durbin-Watson stat | 2.446756 | |


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