我做的是劳动生产率和工资对闲暇的影响,自变量是劳动生产率和工资率,应变量是闲暇消费额,都取了对数
| lny | lnx1 | lnx2 | Dependent Variable: Y | ||||||||
5.94586 | 9.085824 | 7.092666 | Method: Least Squares | ||||||||
6.057064 | 9.168131 | 7.172409 | Date: 05/06/14 Time: 20:44 | ||||||||
6.241918 | 9.242179 | 7.231165 | Sample: 1995 2012 | ||||||||
6.326837 | 9.299572 | 7.301593 | Included observations: 18 | ||||||||
6.467294 | 9.363402 | 7.398783 | |||||||||
6.561178 | 9.427859 | 7.468636 | Variable | Coefficient | Std. Error | t-Statistic | Prob. | ||||
6.624328 | 9.501699 | 7.56138 | |||||||||
6.739041 | 9.5763 | 7.744825 | X1 | -0.674623 | 0.831932 | -0.810912 | 0.4301 | ||||
6.718365 | 9.66239 | 7.862675 | X2 | 1.159008 | 0.675286 | 1.716322 | 0.1067 | ||||
6.772426 | 9.74867 | 7.951216 | C | 4.105221 | 2.815638 | 1.458007 | 0.1655 | ||||
6.829142 | 9.842204 | 8.058101 | |||||||||
6.876609 | 9.956827 | 8.194382 | R-squared | 0.919664 | Mean dependent var | 6.692844 | |||||
6.919314 | 10.0842 | 8.328062 | Adjusted R-squared | 0.908952 | S.D. dependent var | 0.368144 | |||||
6.907053 | 10.19672 | 8.400628 | S.E. of regression | 0.111084 | Akaike info criterion | -1.406042 | |||||
6.992468 | 10.27886 | 8.526066 | Sum squared resid | 0.185096 | Schwarz criterion | -1.257646 | |||||
7.064288 | 10.36693 | 8.631318 | Log likelihood | 15.65437 | F-statistic | 85.85754 | |||||
7.18227 | 10.45343 | 8.730744 | Durbin-Watson stat | 0.33606 | Prob(F-statistic) | 0 | |||||
7.245739 | 10.52316 | 8.847745 |
左边是数据,右边是直接用EViews做ols回归,可是不对,,接下来我应该怎么做呢,用var模型检验可以么?求知道的人解释一下呀,,正准备论文,数据模型搞不定,什么都别想做了,哭了都QAQ


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