1) 利润和红利的散点图如下,
从图中可看出,利润和红利序列均值和方差不稳定,因此可能是非平稳的。
2)利润序列有截距项,在Eviews5.0中选取截距项,同时最大滞后长度取11进行单位根检验,检验结果如下,
Null Hypothesis: PFT has a unit root | ||||
Exogenous: Constant, Linear Trend | ||||
Lag Length: 0 (Automatic based on SIC, MAXLAG=11) | ||||
t-Statistic | Prob.* | |||
Augmented Dickey-Fuller test statistic | -1.797079 | 0.6978 | ||
Test critical values: | 1% level | -4.066981 | ||
5% level | -3.462292 | |||
10% level | -3.157475 | |||
红利序列有截距项和趋势项,在Eviews5.0中选取截距项和趋势项,同时最大滞后长度取11进行单位根检验,检验结果如下,
Null Hypothesis: BNU has a unit root | ||||
Exogenous: Constant, Linear Trend | ||||
Lag Length: 1 (Automatic based on SIC, MAXLAG=11) | ||||
t-Statistic | Prob.* | |||
Augmented Dickey-Fuller test statistic | -2.3559 | 0.1698 | ||
Test critical values: | 1% level | -4.068290 | ||
5% level | -3.462912 | |||
10% level | -3.157836 | |||
*MacKinnon (1996) one-sided p-values. |
10.2 1)X为销售量,Y为固定厂房设备投资
从图形中可看出,销售量序列有截距项和趋势项,故在Eviews5.0中选取截距项和趋势项,同时最大滞后长度取6进行单位根检验,检验结果如下,
Null Hypothesis: X has a unit root | ||||
Exogenous: Constant, Linear Trend | ||||
Lag Length: 0 (Automatic based on SIC, MAXLAG=6) | ||||
t-Statistic | Prob.* | |||
Augmented Dickey-Fuller test statistic | -1.886238 | 0.6258 | ||
Test critical values: | 1% level | -4.4675 | ||
5% level | -3.4963 | |||
10% level | -3.261452 | |||
*MacKinnon (1996) one-sided p-values. |
2)
从图形中可看出,固定厂房设备投资序列有截距项和趋势项,故在Eviews5.0中选取截距项和趋势项,同时最大滞后长度取6进行单位根检验,检验结果如下,
Null Hypothesis: Y has a unit root | ||||
Exogenous: Constant, Linear Trend | ||||
Lag Length: 1 (Automatic based on SIC, MAXLAG=6) | ||||
t-Statistic | Prob.* | |||
Augmented Dickey-Fuller test statistic | -4.314027 | 0.0144 | ||
Test critical values: | 1% level | -4.498307 | ||
5% level | -3.658446 | |||
10% level | -3.2673 | |||
*MacKinnon (1996) one-sided p-values. |
10.3
1)回归的结果是虚假的。以利润回归红利,回归的估计结果如下,
Dependent Variable: BNU | ||||
Method: Least Squares | ||||
Date: 12/13/12 Time: 12:09 | ||||
Sample: 1980Q1 2001Q4 | ||||
Included observations: 88 | ||||
Variable | Coefficient | Std. Error | t-Statistic | Prob. |
C | -13.024 | 7.371237 | -1.767198 | 0.0807 |
PFT | 0.628219 | 0.052866 | 11.88312 | 0.0000 |
R-squared | 0.621493 | Mean dependent var | 69.24205 | |
Adjusted R-squared | 0.617092 | S.D. dependent var | 38.36748 | |
S.E. of regression | 23.74163 | Akaike info criterion | 9.194802 | |
Sum squared resid | 48475.19 | Schwarz criterion | 9.251105 | |
Log likelihood | -402.5713 | F-statistic | 141.2085 | |
Durbin-Watson stat | 0.083355 | Prob(F-statistic) | 0.000000 | |
2)一次差分后的利润序列有截距项, 故在Eviews5.0中选取截距项,同时最大滞后长度取11进行单位根检验,检验结果如下,
Null Hypothesis: D(PFT) has a unit root | ||||
Exogenous: Constant | ||||
Lag Length: 0 (Automatic based on SIC, MAXLAG=11) | ||||
t-Statistic | Prob.* | |||
Augmented Dickey-Fuller test statistic | -7.739072 | 0.0000 | ||
Test critical values: | 1% level | -3.508326 | ||
5% level | -2.5512 | |||
10% level | -2.584952 | |||
*MacKinnon (1996) one-sided p-values. |
一次差分后的红利序列有截距项, 故在Eviews5.0中选取截距项,同时最大滞后长度取11进行单位根检验,检验结果如下,
t统计量小于所有显著性水平下的MacKinnon临界值,故拒绝原假设,一次差分后的红利序列是平稳的。
10.4
从图形中可看出,GDP序列有截距项和趋势项,故在Eviews5.0中选取截距项和趋势项,同时最大滞后长度取20进行单位根检验,检验结果如下,
Null Hypothesis: GDP has a unit root | ||||
Exogenous: Constant, Linear Trend | ||||
Lag Length: 17 (Automatic based on AIC, MAXLAG=20) | ||||
t-Statistic | Prob.* | |||
Augmented Dickey-Fuller test statistic | -1.392552 | 0.8480 | ||
Test critical values: | 1% level | -4.205004 | ||
5% level | -3.526609 | |||
10% level | -3.194611 | |||
*MacKinnon (1996) one-sided p-values. |
一次差分后的GDP序列有截距项,无趋势项, 故在Eviews5.0中选取截距项,同时最大滞后长度取20进行单位根检验,检验结果如下,
Null Hypothesis: D(GDP) has a unit root | ||||
Exogenous: Constant | ||||
Lag Length: 16 (Automatic based on SIC, MAXLAG=20) | ||||
t-Statistic | Prob.* | |||
Augmented Dickey-Fuller test statistic | -4.201400 | 0.0020 | ||
Test critical values: | 1% level | -3.605593 | ||
5% level | -2.936942 | |||
10% level | -2.606857 | |||
*MacKinnon (1996) one-sided p-values. |
10.5 1)
从图形中可看出,序列lnY有截距项和趋势项,故在Eviews5.0中选取截距项和趋势项,同时最大滞后长度取5进行单位根检验,检验结果如下,
Null Hypothesis: LNY has a unit root | ||||
Exogenous: Constant, Linear Trend | ||||
Lag Length: 2 (Automatic based on SIC, MAXLAG=5) | ||||
t-Statistic | Prob.* | |||
Augmented Dickey-Fuller test statistic | -1.395402 | 0.8401 | ||
Test critical values: | 1% level | -4.323979 | ||
5% level | -3.580623 | |||
10% level | -3.225334 | |||
*MacKinnon (1996) one-sided p-values. |
一次差分后的财政收入序列有截距项,无趋势项,故在Eviews5.0中选取截距项,同时最大滞后长度取5进行单位根检验,检验结果如下,
t统计量大于所有显著性水平下的MacKinnon临界值,故不能拒绝原假设,一次差分后的序列仍是不平稳的。
二次差分后的财政收入序列有截距项,无趋势项,故在Eviews5.0中选取截距项,同时最大滞后长度取5进行单位根检验,检验结果如下,
Null Hypothesis: D(LNY,2) has a unit root | ||||
Exogenous: Constant | ||||
Lag Length: 1 (Automatic based on SIC, MAXLAG=5) | ||||
t-Statistic | Prob.* | |||
Augmented Dickey-Fuller test statistic | -5.019976 | 0.0004 | ||
Test critical values: | 1% level | -3.699871 | ||
5% level | -2.976263 | |||
10% level | -2.627420 | |||
*MacKinnon (1996) one-sided p-values. |
2)
从图形中可看出,序列lnX有截距项和趋势项,故在Eviews5.0中选取截距项和趋势项,同时最大滞后长度取5进行单位根检验,检验结果如下,
Null Hypothesis: LNX has a unit root | ||||
Exogenous: Constant, Linear Trend | ||||
Lag Length: 0 (Automatic based on SIC, MAXLAG=5) | ||||
t-Statistic | Prob.* | |||
Augmented Dickey-Fuller test statistic | -2.6725 | 0.2539 | ||
Test critical values: | 1% level | -4.296729 | ||
5% level | -3.568379 | |||
10% level | -3.218382 | |||
*MacKinnon (1996) one-sided p-values. |
一次差分后的税收收入序列有截距项,无趋势项,故在Eviews5.0中选取截距项,同时最大滞后长度取5进行单位根检验,检验结果如,
t统计量小于所有显著性水平下的MacKinnon临界值,故拒绝原假设,一次差分后的序列是平稳的,所以。
由于lnY 和lnX不是同阶单整的,故两者之间不存在协整关系。
10.6 1)X为实际人均年消费支出,Y为实际人均年收入
从图形中可看出,序列lnY有截距项和趋势项,故在Eviews5.0中选取截距项和趋势项,同时最大滞后长度取5进行单位根检验,检验结果如下,
Null Hypothesis: LNY has a unit root | ||||
Exogenous: Constant, Linear Trend | ||||
Lag Length: 0 (Automatic based on SIC, MAXLAG=5) | ||||
t-Statistic | Prob.* | |||
Augmented Dickey-Fuller test statistic | 0.866397 | 0.9997 | ||
Test critical values: | 1% level | -4.205004 | ||
5% level | -3.526609 | |||
10% level | -3.194611 | |||
*MacKinnon (1996) one-sided p-values. |
从图形中可看出,序列lnX有截距项和趋势项,故在Eviews5.0中选取截距项和趋势项,同时最大滞后长度取5进行单位根检验,检验结果如下,
Null Hypothesis: LNX has a unit root | ||||
Exogenous: Constant, Linear Trend | ||||
Lag Length: 0 (Automatic based on SIC, MAXLAG=5) | ||||
t-Statistic | Prob.* | |||
Augmented Dickey-Fuller test statistic | 1.455218 | 1.0000 | ||
Test critical values: | 1% level | -4.205004 | ||
5% level | -3.526609 | |||
10% level | -3.194611 | |||
*MacKinnon (1996) one-sided p-values. |
2)第一步,检验、是否同阶单整。一次差分后的序列有截距项,无趋势项,故在Eviews5.0中选取截距项,同时最大滞后长度取7进行单位根检验,检验结果如下,
Null Hypothesis: D(LNY) has a unit root | ||||
Exogenous: Constant | ||||
Lag Length: 0 (Automatic based on SIC, MAXLAG=7) | ||||
t-Statistic | Prob.* | |||
Augmented Dickey-Fuller test statistic | -4.939143 | 0.0002 | ||
Test critical values: | 1% level | -3.610453 | ||
5% level | -2.9387 | |||
10% level | -2.607932 | |||
*MacKinnon (1996) one-sided p-values. |
一次差分后的序列有截距项,无趋势项,故在Eviews5.0中选取截距项,同时最大滞后长度取10进行单位根检验,检验结果如下,
Null Hypothesis: D(LNX) has a unit root | ||||
Exogenous: Constant | ||||
Lag Length: 0 (Automatic based on SIC, MAXLAG=10) | ||||
t-Statistic | Prob.* | |||
Augmented Dickey-Fuller test statistic | -4.287041 | 0.0016 | ||
Test critical values: | 1% level | -3.610453 | ||
5% level | -2.9387 | |||
10% level | -2.607932 | |||
*MacKinnon (1996) one-sided p-values. |
故、是同阶单整的,建立协整回归方程,,估计的回归结果如下,
Dependent Variable: LNY | ||||
Method: Least Squares | ||||
Date: 26/02/10 Time: 22:16 | ||||
Sample: 1950 1990 | ||||
Included observations: 41 | ||||
Variable | Coefficient | Std. Error | t-Statistic | Prob. |
C | 0.266307 | 0.0083 | 4.155653 | 0.0002 |
LNX | 1.056331 | 0.012105 | 87.26190 | 0.0000 |
R-squared | 0.994904 | Mean dependent var | 5.826358 | |
Adjusted R-squared | 0.994774 | S.D. dependent var | 0.606026 | |
S.E. of regression | 0.043811 | Akaike info criterion | -3.370294 | |
Sum squared resid | 0.074858 | Schwarz criterion | -3.286705 | |
Log likelihood | 71.09103 | F-statistic | 7614.0 | |
Durbin-Watson stat | 1.435780 | Prob(F-statistic) | 0.000000 | |
第二步,检验的平稳性。因为通常的ADF临界值已不适用残差的平稳性检验,所以我们选用协整回归DW检验。,因为该题样本容量为41,属于小样本,查小样本CRDW检验临界值表(见题后附录),0.975049大于5%显著性水平下的值0.84,故拒绝原假设,即不是随机游走,所以、间存在协整关系,表明两者间存在着长期均衡关系。
经试算,只受的当期值影响,故误差修正模型为,
,回归的估计结果如下,
Dependent Variable: LNY1 | ||||
Method: Least Squares | ||||
Date: 26/02/10 Time: 22:50 | ||||
Sample (adjusted): 1951 1990 | ||||
Included observations: 40 after adjustments | ||||
Variable | Coefficient | Std. Error | t-Statistic | Prob. |
C | 0.003016 | 0.009067 | 0.332587 | 0.7413 |
LNX1 | 1.008080 | 0.110346 | 9.1353 | 0.0000 |
E(-1) | -0.699272 | 0.172938 | -4.043476 | 0.0003 |
R-squared | 0.693509 | Mean dependent var | 0.057733 | |
Adjusted R-squared | 0.676942 | S.D. dependent var | 0.075630 | |
S.E. of regression | 0.042987 | Akaike info criterion | -3.383806 | |
Sum squared resid | 0.068371 | Schwarz criterion | -3.257140 | |
Log likelihood | 70.67611 | F-statistic | 41.860 | |
Durbin-Watson stat | 1.915303 | Prob(F-statistic) | 0.000000 | |
(0.009067) (0.110346) (0.172938)
t = (0.332587) (9.1353) (-4.043476)
=0.693509 DW=1.915305
经济意义:人均年收入的变化率不仅取决于人均年消费支出的变化率,而且还取决于上一期人均年收入对均衡水平的偏离,误差项估计的系数-0.699272体现了对偏离的修正,上一期偏离越远,本期修正的量就越大,即系统存在误差修正机制。