计量经济学第七章第5,6,7题答案
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第7章练习5
解:根据Eview 软件得如下表:
Dependent Variable: Y
Method: ML - Binary Logit (Quadratic hill climbing) Date: 05/22/11 Time: 22:19
Sample: 1 16
Included observations: 16
Convergence achieved after 5 iterations
Covariance matrix computed using second derivatives
Variable Coefficient Std. Error z-Statistic Prob. C -11.10741 6.124290 -1.813665 0.0697 Q 0.003968 0.008008 0.495515 0.6202 V
0.017696
0.008752
2.021914
0.0432 McFadden R-squared 0.468521 Mean dependent var 0.562500 S.D. dependent var 0.512348 S.E. of regression 0.382391 Akaike info criterion 1.103460 Sum squared resid 1.900896 Schwarz criterion 1.248321 Log likelihood -5.827681 Hannan-Quinn criter. 1.110878 Restr. log likelihood -10.96503 LR statistic 10.27469 Avg. log likelihood -0.364230
Prob(LR statistic) 0.005873
Obs with Dep=0 7 Total obs 16
Obs with Dep=1
9
于是,我们可得到Logit 模型为:
V Q i
0177.0004.0107.11Y ˆ++-= (-1.81) (0.49) (2.02)
685.40R 2
MCF = , LR(2)=10.27
如果在Binary estination 这一栏中选择Probit 估计方法,可得到如下表:
Dependent Variable: Y
Method: ML - Binary Probit (Quadratic hill climbing) Date: 05/22/11 Time: 22:25 Sample: 1 16
Included observations: 16
Convergence achieved after 5 iterations
Covariance matrix computed using second derivatives
Variable Coefficient Std. Error z-Statistic Prob. C -6.634542 3.396882 -1.953127 0.0508 Q 0.002403 0.004585 0.524121 0.6002 V
0.010532
0.004693
2.244299
0.0248 McFadden R-squared 0.476272 Mean dependent var 0.562500 S.D. dependent var 0.512348 S.E. of regression 0.381655 Akaike info criterion 1.092836 Sum squared resid 1.893588 Schwarz criterion 1.237696 Log likelihood -5.742687 Hannan-Quinn criter. 1.100254 Restr. log likelihood -10.96503 LR statistic 10.44468 Avg. log likelihood -0.358918
Prob(LR statistic) 0.005395
Obs with Dep=0 7 Total obs 16
Obs with Dep=1
9
于是,我们可得到Probit 模型为:
V Q i
0105.00024.035.66Y ˆ++-= (-1.95) (0.52) (2.24)
763.40R 2
MCF = , LR(2)=10.44
第7章练习6
下表列出了美国、加拿大、英国在1980~1999年的失业率Y 以及对制造业的补偿X 的相关数据资料。
解:(1)根据Eview 软件操作得如下表: 美国(US ): Dependent Variable: Y Method: Least Squares Date: 05/22/11 Time: 22:38 Sample: 1980 1999 Included observations: 20
Variable Coefficient Std. Error t-Statistic Prob. C 10.56858 1.138982 9.278972 0.0000 X
-0.045403
0.012538
-3.621189
0.0020
R-squared 0.421464 Mean dependent var 6.545000 Adjusted R-squared 0.389323 S.D. dependent var 1.432875 S.E. of regression 1.119732 Akaike info criterion 3.158696 Sum squared resid 22.56840 Schwarz criterion 3.258269 Log likelihood -29.58696 Hannan-Quinn criter. 3.178133 F-statistic 13.11301 Durbin-Watson stat 0.797022
Prob(F-statistic)
0.001953
根据上表可得对美国的OLS 估计结果为:t
t X 0454.05686.10Y ˆ-= (9.28) (-3.62) 4215.02
=R , 3893.02
=R , D.W.=0.797, RSS=22.57
加拿大(CA):
Dependent Variable: Y Method: Least Squares Date: 05/22/11 Time: 22:43 Sample: 1980 1999 Included observations: 20